US20130325740A1 - System and Method for Increasing Asset Utilization Using Satellite Aided Location Tracking - Google Patents

System and Method for Increasing Asset Utilization Using Satellite Aided Location Tracking Download PDF

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US20130325740A1
US20130325740A1 US13/960,041 US201313960041A US2013325740A1 US 20130325740 A1 US20130325740 A1 US 20130325740A1 US 201313960041 A US201313960041 A US 201313960041A US 2013325740 A1 US2013325740 A1 US 2013325740A1
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asset
assets
landmark
area
time
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John McKethan
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SkyBitz Inc
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SkyBitz Inc
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Priority to US13/960,041 priority Critical patent/US20130325740A1/en
Publication of US20130325740A1 publication Critical patent/US20130325740A1/en
Priority to US16/100,314 priority patent/US10614409B2/en
Priority to US16/840,082 priority patent/US11120393B2/en
Priority to US17/467,233 priority patent/US20220101255A1/en
Abandoned legal-status Critical Current

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083Shipping
    • G06Q10/0833Tracking
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083Shipping
    • G06Q10/0838Historical data
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions

Definitions

  • the present invention relates generally to monitoring and tracking and, more particularly, to a system and method for increasing asset utilization using satellite aided location tracking.
  • Tracking mobile assets represents a growing enterprise as companies seek increased visibility into the status of movable assets (e.g., dry van trailers, refrigerated trailers, flatbed trailers, cargo containers, intermodal rail containers, frac tanks, ISO containers, chassis, roll off bends, tank trailers, rail cars, etc.). Visibility into the status of movable assets can be gained through mobile terminals that are affixed to the assets. These mobile terminals can be designed to generate position information that can be used to update status reports that are provided to customer representatives.
  • movable assets e.g., dry van trailers, refrigerated trailers, flatbed trailers, cargo containers, intermodal rail containers, frac tanks, ISO containers, chassis, roll off bends, tank trailers, rail cars, etc.
  • Visibility into the status of movable assets can be gained through mobile terminals that are affixed to the assets. These mobile terminals can be designed to generate position information that can be used to update status reports that are provided to customer representatives.
  • Mobile terminals can report this position information to a centralized location via a wireless communication network such as a satellite communication network.
  • a wireless communication network such as a satellite communication network.
  • satellite communication networks provide excellent monitoring capabilities due to their wide-ranging coverage, which can span large sections of a continent.
  • FIG. 1 illustrates an embodiment of a satellite network in communication with a mobile terminal on an asset.
  • FIG. 2 illustrates a flowchart of an optimized asset process.
  • FIG. 3 illustrates a flowchart of an asset pool management and geographical balancing process.
  • FIG. 4 illustrates an example user interface for reporting.
  • FIG. 5 illustrates a flowchart of a round trip turn time process.
  • Tracking mobile assets (e.g., trailers, containers, rail cars, etc.) represents a growing enterprise as companies seek to improve cost, safety and service.
  • the tracking of these assets can be accomplished using mobile tracking hardware that can be affixed to the asset.
  • FIG. 1 illustrates an embodiment of an asset tracking system that includes operations gateway 102 , communicating with mobile terminal 120 on an asset. Communication between operations gateway 102 and mobile terminal 120 is facilitated by satellite gateway 104 at the ground station and satellite modem 122 in mobile terminal 120 . Both satellite gateway 104 and satellite modem 122 facilitate communication using one forward and one return link (frequency) over communications satellite 106 .
  • the satellite communication is implemented in a time division multiple access (TDMA) structure, which consists of 57,600 time slots each day, per frequency or link, where each slot is 1.5 seconds long.
  • TDMA time division multiple access
  • operations gateway 102 sends a message or packet to mobile terminal 120 on one of the 1.5 second slots.
  • mobile terminal 120 Upon receipt of this message or packet, mobile terminal 120 would then perform a GPS collection (e.g., code phase measurements) using global locating system (GLS) module 124 or to perform sensor measurements and transmit the data back to operations gateway 102 on the return link, on the same slot, delayed by a fixed time defined by the network.
  • the fixed delay defines a length of time that enables mobile terminal 120 to decode the forward packet, perform the data collection and processing, and build and transmit the return packet.
  • mobile terminal 120 can be configured to produce periodic status reports. In this configuration, mobile terminal 120 would wake up periodically, search for its assigned forward slot, perform data collection and processing, and transmit the status report on the assigned return slot. In another embodiment, mobile terminal 120 can be configured to produce a status report upon an occurrence of an event (e.g., door opening, motion detected, sensor reading, etc.). In this configuration, mobile terminal 120 would wake up upon occurrence of an event, search for an available forward slot, perform data collection and processing, and transmit the status report on the return slot corresponding to the identified available forward slot.
  • an event e.g., door opening, motion detected, sensor reading, etc.
  • operations gateway 102 Upon receipt of a status report from mobile terminal 120 , operations gateway 102 passes the information to operations center 112 . Operations center 112 can then use the received GPS collection to calculate a position solution. This position solution along with any other status information (both current and historical) can be passed to a customer via the Internet. A detailed description of this communications process is provided in U.S. Pat. No. 6,725,158, entitled “System and Method for Fast Acquisition Position Reporting Using Communication Satellite Range Measurement,” which is incorporated herein by reference in its entirety.
  • mobile terminal 120 can also collect sensor measurements from sensors that are positioned at various points on the asset being tracked.
  • various sensor types can be used. For example, volume sensors, temperature sensors, chemical sensors, radiation sensors, weight sensors, light sensors, water sensors, truck cab ID indicators, odometer sensors, wheel sensors, etc. can be used to report the condition of cargo being transported, an environment of the asset, a condition of a service vehicle, etc.
  • these various sensors can be used to report status information or the occurrence of one or more events at the service vehicle to the mobile terminal for transmission to the centralized facility. The position information along with any sensor information can then be reported to the centralized facility periodically, upon request, or upon an occurrence of a detected event at the asset location.
  • adaptive motion sensor 126 determines whether an asset is moving or not. Together with the mobile terminal processor and GLS 124 , adaptive motion sensor 126 can determine the arrival and departure times of an asset. When an asset begins to move, adaptive motion sensor 126 detects the motion by measuring vibration signals. Adaptive motion sensor 126 then sends a signal to the mobile terminal processor informing it that motion has started. The mobile terminal processor then records the time motion started, and signals to GLS 124 to collect code phase measurements.
  • the start time and the codephase measurements are sent over the satellite back to the operations center 124 where the codephase measurements are used to solve for a geographical position, and the start time is used to generate the departure time.
  • adaptive motion sensor 126 determines motion has stopped it will again inform the mobile terminal processor to collect time and codephase measurements, and send the information back to operations center 112 .
  • Operations center 112 solves for position, and the stop time is used to generate the arrival time.
  • the arrival and departure times along with their associated geographical locations can be supplied to the user via the Internet.
  • adaptive motion sensor 126 has a layer of filtering that is capable of filtering out unwanted starts and stops such that mobile terminal 120 only transmits true arrival and departure information.
  • mobile terminal 120 can be configured to only transmit starts or stops when the change in motion detected by adaptive motion sensor 126 is maintained for a configurable percentage of time. In this manner, only accurate arrival and departure time information is transmitted by mobile terminal 120 using filtered results of adaptive motion sensor 126 .
  • This layer of filtering saves on unwanted transmissions, and hence power, bandwidth, and cost.
  • the mobile terminal can be configured to transmit a position report after the actual arrival or departure times when the motion sensor has reached its “no-motion” or “motion” times, respectively.
  • the “motion” and “no-motion” times can be separately configurable, for example, from one minute up to two hours. For example, if the “motion” time is set at 15 minutes, then the mobile terminal will only transmit departure time information at the expiration of the 15-minute “motion” time period should the motion condition be valid for greater than a configurable percentage of time. This configurability can be used to allow more time to exit an area of interest, or allow more time at rest stops along the way.
  • the mobile terminal can then be configured to transmit status reports periodically (e.g., once every X minutes/hours).
  • the user-configurable “motion sensitivity” can be implemented as the percentage of time the asset needs to remain in motion during the “motion time” to signal motion. This is useful, for example, in maintaining a motion condition while stopped at a traffic light or a rest stop.
  • the user-configurable “no-motion sensitivity” can be implemented as the percentage of time the asset needs to remain in no-motion during the “no-motion” time to signal no-motion. This is useful, for example, in maintaining a no-motion condition while moving a trailer within a yard.
  • a detailed description of this communications process is provided in U.S. Pat. No. 7,498,925, entitled “System and Method for Reporting a Status of an asset,” which is incorporated herein by reference in its entirety.
  • the tracking mechanism provides movement information that can be used in automated decision processes that relate to asset location and utilization, thereby saving considerable fuel, equipment, and man-hour cost.
  • the asset location information can be used to correlate value to pertinent landmark information.
  • alert information can be generated when asset utilization is not optimized by geographical area or balanced for optimal regional requirements.
  • an optimized asset application is based on a set of one or more customized business rules.
  • these customized business rules are established by a user through a web interface based application.
  • an asset optimization application can include weighted business rules such as the following: Asset Distance from Truck, Asset Distance from Load Point, Asset Idle Time (or non-utilization), Asset Pool Assignment—Landmark (e.g., target number of assets assigned to Landmark), Pool Location Idles Days Target, Pool Location Turn-time (i.e., arriving to leaving time) Target, Asset Group Assignment, Trailer Status—Empty or Loaded, Cost per Mile Traveled, Revenue per Asset Day (e.g., based on value of freight), Revenue per Landmark, and Landmark Status (Pool Status) On/Off or Assigned Weight.
  • Asset Distance from Truck Asset Distance from Load Point
  • Asset Idle Time or non-utilization
  • Asset Pool Assignment—Landmark e.g., target number of assets assigned to Landmark
  • Pool Location Idles Days Target i.
  • Each business rule can be assigned a weight by importance and can be used to measure and recommend the best assets for the job requirement.
  • the job requirement details to be measured are as follows, Truck position, Load point position (Origin), End point position (Destination), Asset positions, Distance, and Cost and Profitability.
  • FIG. 2 illustrates an example workflow process based on a set of weighted business rules.
  • the process begins at step 202 where a driver drops a trailer at a location and needs a new trailer assigned to him for the next job.
  • the load planner selects the landmark location of the driver (e.g., 4-5 letter code).
  • the location of the driver and origin of the job i.e., load at point
  • the DPS tool measures, at step 208 , all trailer locations, driver positions, load destinations, distance from all assets against the business rules setup by the customer.
  • the list of sorted assets are then returned to the load planner (e.g., via XML). This list of assets is sorted based on the business rules defined for the customer.
  • the load planner selects the asset for the job and dispatches it to the driver.
  • asset-specific statistics can be defined that relate to asset-specific statistics as well as asset-pool statistics.
  • An example of an asset-specific statistic is a distance from an asset (e.g., trailer) to an asset transporter (e.g., truck).
  • asset transporter e.g., truck
  • business rules can be custom defined for individual landmark areas. These landmark areas can be defined by the customer in identifying a pooling area (e.g., trailer yard) for a plurality of assets.
  • the adaptive motion sensor technology in the mobile terminals affixed to the assets enables accurate assessments of activity in relation to a defined landmark area. For example, the filtering of results produced by the adaptive motion sensor can more clearly identify when an asset has actually arrived at a destination defined by a landmark area. For example, only after an asset has achieved a no-motion condition for greater than a defined percentage of a period of time would the asset considered to be stopped. If the location of the stopped position is within a landmark boundary area, then the asset would be considered to have arrived at that landmark area. The time of arrival can be considered the time that the asset was first determined to have entered into a no-motion state.
  • This tracking mechanism is in contrast to perimeter crossing mechanisms that can only determine when an asset has crossed a geographic boundary threshold, which is distinct from the actual arrival point. Simple motion sensing is also inaccurate due to the potential for multiple starts and stops within a defined landmark area (e.g., movement within a trailer yard).
  • the statistics generated by assets within a landmark area can represent asset-pool statistics that can drive a business rule analysis for such a landmark area.
  • the business rule can be separately and individually customized for each landmark area.
  • This turn-time target can be defined as a target amount of time (e.g., days/hours) between an arrival and departure of an asset from a landmark area. Again, the arrival and departure times generated from a conventional boundary crossing methodology would yield inaccurate and inconsistent results.
  • Statistics regarding the turn time of assets that enter and leave the landmark area can be used to determine the efficiency of an asset pool assigned to that landmark area. If the turn-time statistics indicate a result greater than a threshold, then the DPS tool can elevate assets in that landmark area for immediate or near-future assignment. Conversely, if the turn-time statistics indicate a result significantly less than a threshold, then the DPS tool can prevent assets in that landmark area from immediate or near-future reassignment.
  • This asset pool assignment can identify a target number of assets for a given landmark area. If the number of assets at a given landmark area exceeds the threshold, then the DPS tool can elevate one or more assets in that landmark area for immediate or near-future assignment.
  • the selection of assets to be assigned can be based on more than individual asset statistics.
  • management of pools of assets is enabled.
  • This area represents another example of a DPS tool application that relates to an asset pool management and geographical balance application.
  • this application is designed to provide the user with near-real-time asset balance information based on the end user target pool and geographical goals.
  • the application also leverages the GLS and adaptive motion sensor features described above, in having near-real-time updates of asset movement integrated with the DPS tool. With this integration, the customer can view network imbalances as they happen, thus providing the user with the ability to take corrective action to counteract such network imbalances.
  • the DPS tool provides the end user with the ability to designate target asset quantities by Customer Pool—Landmark Location, or Customized Geographical Area, which can include multiple Landmark Locations within the Customized Geographical Area.
  • the tool can display this information at two levels, Landmark level and Geographical level and can provide alerts when locations exceed a predetermined imbalance threshold.
  • an end user landmark location or customized geographical area can have a target pool of 10 trailers. When the location or area exceeds 120% of the user defined target an alert is generated. Similarly, when the location or area drops below 80% of its user defined target an alert is generated. Alerts can also be generated based on the monitoring of other statistics such as average idle asset days at location or area per month, average cost per idle asset day, average asset turn-time, etc.
  • FIG. 3 illustrates an example reporting process that incorporates asset pool management and geographical balance. As illustrated, the process begins at step 302 where a user defines landmark locations and/or customized geographical area using the setup tools.
  • the setup tools are provided through a web driven graphical user interface.
  • the graphical user interface can enable the user to define a landmark location or customized geographical area using drawing tools that define an area using specified shapes, points, lines, etc.
  • the graphical user interface is used to define a customized geographical area, the user can also provide inputs that select multiple landmark locations instead of defining an actual contiguous region. These multiple landmark locations can be specified using a pointing tool or through the selection from a graphical listing.
  • landmarks locations can be associated with one or more customized geographical areas.
  • the customized geographical areas can be mutually exclusive or can overlap in some fashion.
  • the customized geographical areas can be used to define separate regions that have independent significance from a monitoring perspective.
  • the asset locations and movements are monitored via the asset tracking system.
  • the relevance of asset locations can be based on whether an asset is inside or outside of a defined landmark location or customized geographical area.
  • the adaptive motion sensor technology in the mobile terminals affixed to the assets enables accurate assessments of an asset's location relative to a defined location or area. This accuracy is enabled by the filtering of adaptive motion sensor results to identify when an asset has actually arrived at a destination defined by a location or area. This processing and analysis is distinct from conventional boundary crossing mechanisms that can only infer, for example, that an asset has arrived at a destination location.
  • the DPS tool can perform near-real-time balancing analysis of landmark locations and customized geographic areas at step 306 . More specifically, the DPS tool can determine a number of assets that have arrived and are currently located within each landmark location and customized geographic area. This determined number of assets within each landmark location and customized geographic area can represent the pool of assets associated with each landmark location and customized geographical area.
  • the DPS tool can then compare the determined pool of assets within each landmark location and customized geographical area to any thresholds defined relative to a target pool of assets for each landmark location and customized geographical area.
  • the customer can define a target pool of assets for each landmark location and customized geographical area.
  • This target pool of assets can represent the customer's desires for an allocation of asset resources across the various landmark locations and customized geographical areas.
  • the DPS tool can then determine whether a threshold has been crossed relative to a target pool (e.g., over 120% or below 80%). If a threshold has been crossed, then a near-real-time alert can be generated by the DPS tool and provided to the customer at step 308 . This alert can signal to the customer that a geographical imbalance exists amongst the assets and that an asset pool management adjustment may need to be made.
  • a target pool e.g., over 120% or below 80%.
  • a near-real-time alert can be generated by the DPS tool and provided to the customer at step 308 . This alert can signal to the customer that a geographical imbalance exists amongst the assets and that an asset pool management adjustment may need to be made.
  • the DPS tool can also be designed to provide the customer with periodic reports (e.g., via email, voice messages, text messages, or the like) that can detail the current asset pool levels.
  • Asset pool management statistics can also be retrieved for the defined landmarks and/or customized geographical areas using a graphical user interface such as that illustrated in FIG. 4 .
  • asset pool management statistics can be displayed visually using heat maps or other graphical illustrations that provide an indication of the relative measure of a measured statistic as compared to one or more thresholds.
  • the asset pool management and geographical balancing process can be based on the number of assets alone or in combination with other statistics such as average idle asset days at location or area per month, average cost per idle asset day, average asset turn-time, etc.
  • any set of one or more statistics that provide an indication of asset utilization and non-utilization can be used to drive an asset pool management and geographical balancing application.
  • Another example of a DPS tool application is an evaluation of an asset turn-time between a departure and a return to a defined landmark location. This round trip asset turn-time bears some similarity to the turn-time within a landmark location.
  • a landmark location is defined.
  • This landmark location can be defined at a border crossing point into and out of a country (e.g., border crossing between the United States and Mexico).
  • an asset's departure from the border landmark location would be monitored.
  • the report received from the border landmark location would log the start date and time that the asset enters Mexico.
  • this start time can be used to start a turn-time timer.
  • an asset's rentry into the United states would trigger a second report that logs the end date and time that the asset departs Mexico. This end date and time can then be used at step 508 to identify a round trip turn-time for the trip across the border.
  • the round trip turn-time is based on exit and reentry to a particular landmark location.
  • landmark locations can be defined for each of the multiple border crossings.
  • the multiple border crossings can then be grouped together as a customized geographical area.
  • the customized geographical area need not be contiguous.
  • the round trip turn-time for the cross border trip can be based on exit and reentry to the customized geographical area.
  • the DPS tool can provide performance reports by Asset Turn-time by Trip, Average Asset Turn-time, Average Fleet Turn-time Performance, etc.
  • the report can specify that XYZ customer had 24 asset arrivals in a particular month and the average trailer turn-time in and out of Mexico for that location for the month was 8.73 days.
  • the DPS application can also associate a landmark location with a trailer destination in Mexico. Turn-time performance for that landmark location can then be generated to distinguish the destination turn-time from the actual travel time.
  • the user can also designate areas of Mexico that are no travel areas for their assets.
  • the no travel areas can be designated using landmark or customized geographical areas. Alerts can also be set up for notifications as assets enter the no travel areas allowing the end user to identify a potential problem.
  • the user can designate preferred travel areas that are normally used by their assets. Thus, if an asset leaves those designated areas, an alert is generated and sent to the user.
  • a detention billing application Another example of a DPS tool application is a detention billing application.
  • customers can set up detention billing rules for a landmark location or customized geographical area.
  • the detention billing rules can include, Landmark Free Days—free days asset can dwell at a landmark location or customized geographical area, Detention billing threshold—when an asset exceeds this number of days of detention at a landmark location or customized geographical area then billing begins, and Dollar amount to be billed per day.
  • the user can also can set up an alert by landmark location or customized geographical area, with a customized message field, that sends an email or other message to key personnel stating that a detention billing event is about to begin.
  • the end user can define when the alerts are to be sent. For example, 1-10 days before the detention event is to occur, each day during the detention event, or not to exceed number of alerts.
  • the detention billing module provides the end user with a report at the end of each month for detention billing purposes.
  • the report can include landmark location or customized geographical area arrival and departure dates and time for all assets, Each asset idle time at the landmark location or customized geographical area for the month, Total number of idle days at the landmark location or customized geographical area, Total number of idle days above free time, Amount billed per idle day above free time, and Total amount to be billed for the month at the landmark location or customized geographical area.

Abstract

A system and method for increasing asset utilization using satellite aided location tracking. Smart sensor technology incorporated into mobile tracking hardware affixed to an asset can be used to support decision processes related to management of multiple assets. Automated decision processes based on customized business rules can operate on asset positions at various defined landmark locations and customized geographical areas.

Description

  • This application is a continuation of non-provisional application Ser. No. 12/574,163, filed Oct. 6, 2009, which claims priority to provisional application No. 61/103,049, filed Oct. 6, 2008. Each of the above-identified applications is incorporated by reference herein, in its entirety, for all purposes.
  • BACKGROUND
  • 1. Field of the Invention
  • The present invention relates generally to monitoring and tracking and, more particularly, to a system and method for increasing asset utilization using satellite aided location tracking.
  • 2. Introduction
  • Tracking mobile assets represents a growing enterprise as companies seek increased visibility into the status of movable assets (e.g., dry van trailers, refrigerated trailers, flatbed trailers, cargo containers, intermodal rail containers, frac tanks, ISO containers, chassis, roll off bends, tank trailers, rail cars, etc.). Visibility into the status of movable assets can be gained through mobile terminals that are affixed to the assets. These mobile terminals can be designed to generate position information that can be used to update status reports that are provided to customer representatives.
  • Mobile terminals can report this position information to a centralized location via a wireless communication network such as a satellite communication network. In general, satellite communication networks provide excellent monitoring capabilities due to their wide-ranging coverage, which can span large sections of a continent.
  • Management of these movable assets is key to producing a high return on investment. What is needed therefore is a mechanism for enabling an enterprise to monitor, track and optimize asset utilization.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • In order to describe the manner in which the above-recited and other advantages and features of the invention can be obtained, a more particular description of the invention briefly described above will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings. Understanding that these drawings depict only typical embodiments of the invention and are not therefore to be considered limiting of its scope, the invention will be described and explained with additional specificity and detail through the use of the accompanying drawings in which:
  • FIG. 1 illustrates an embodiment of a satellite network in communication with a mobile terminal on an asset.
  • FIG. 2 illustrates a flowchart of an optimized asset process.
  • FIG. 3 illustrates a flowchart of an asset pool management and geographical balancing process.
  • FIG. 4 illustrates an example user interface for reporting.
  • FIG. 5 illustrates a flowchart of a round trip turn time process.
  • DETAILED DESCRIPTION
  • Various embodiments of the invention are discussed in detail below. While specific implementations are discussed, it should be understood that this is done for illustration purposes only. A person skilled in the relevant art will recognize that other components and configurations may be used without parting from the spirit and scope of the invention.
  • Tracking mobile assets (e.g., trailers, containers, rail cars, etc.) represents a growing enterprise as companies seek to improve cost, safety and service. The tracking of these assets can be accomplished using mobile tracking hardware that can be affixed to the asset.
  • FIG. 1 illustrates an embodiment of an asset tracking system that includes operations gateway 102, communicating with mobile terminal 120 on an asset. Communication between operations gateway 102 and mobile terminal 120 is facilitated by satellite gateway 104 at the ground station and satellite modem 122 in mobile terminal 120. Both satellite gateway 104 and satellite modem 122 facilitate communication using one forward and one return link (frequency) over communications satellite 106.
  • In one embodiment, the satellite communication is implemented in a time division multiple access (TDMA) structure, which consists of 57,600 time slots each day, per frequency or link, where each slot is 1.5 seconds long. On the forward link, operations gateway 102 sends a message or packet to mobile terminal 120 on one of the 1.5 second slots. Upon receipt of this message or packet, mobile terminal 120 would then perform a GPS collection (e.g., code phase measurements) using global locating system (GLS) module 124 or to perform sensor measurements and transmit the data back to operations gateway 102 on the return link, on the same slot, delayed by a fixed time defined by the network. In one embodiment, the fixed delay defines a length of time that enables mobile terminal 120 to decode the forward packet, perform the data collection and processing, and build and transmit the return packet.
  • In one embodiment, mobile terminal 120 can be configured to produce periodic status reports. In this configuration, mobile terminal 120 would wake up periodically, search for its assigned forward slot, perform data collection and processing, and transmit the status report on the assigned return slot. In another embodiment, mobile terminal 120 can be configured to produce a status report upon an occurrence of an event (e.g., door opening, motion detected, sensor reading, etc.). In this configuration, mobile terminal 120 would wake up upon occurrence of an event, search for an available forward slot, perform data collection and processing, and transmit the status report on the return slot corresponding to the identified available forward slot.
  • Upon receipt of a status report from mobile terminal 120, operations gateway 102 passes the information to operations center 112. Operations center 112 can then use the received GPS collection to calculate a position solution. This position solution along with any other status information (both current and historical) can be passed to a customer via the Internet. A detailed description of this communications process is provided in U.S. Pat. No. 6,725,158, entitled “System and Method for Fast Acquisition Position Reporting Using Communication Satellite Range Measurement,” which is incorporated herein by reference in its entirety.
  • In one embodiment, mobile terminal 120 can also collect sensor measurements from sensors that are positioned at various points on the asset being tracked. In meeting the demand by customers for greater visibility into the status of assets, various sensor types can be used. For example, volume sensors, temperature sensors, chemical sensors, radiation sensors, weight sensors, light sensors, water sensors, truck cab ID indicators, odometer sensors, wheel sensors, etc. can be used to report the condition of cargo being transported, an environment of the asset, a condition of a service vehicle, etc. In general, these various sensors can be used to report status information or the occurrence of one or more events at the service vehicle to the mobile terminal for transmission to the centralized facility. The position information along with any sensor information can then be reported to the centralized facility periodically, upon request, or upon an occurrence of a detected event at the asset location.
  • As illustrated in FIG. 1, one of the sensors that can be used is adaptive motion sensor 126, which enables motion-activated location tracking. In general, adaptive motion sensor 126 determines whether an asset is moving or not. Together with the mobile terminal processor and GLS 124, adaptive motion sensor 126 can determine the arrival and departure times of an asset. When an asset begins to move, adaptive motion sensor 126 detects the motion by measuring vibration signals. Adaptive motion sensor 126 then sends a signal to the mobile terminal processor informing it that motion has started. The mobile terminal processor then records the time motion started, and signals to GLS 124 to collect code phase measurements.
  • The start time and the codephase measurements are sent over the satellite back to the operations center 124 where the codephase measurements are used to solve for a geographical position, and the start time is used to generate the departure time. Conversely, when adaptive motion sensor 126 determines motion has stopped it will again inform the mobile terminal processor to collect time and codephase measurements, and send the information back to operations center 112. Operations center 112 then solves for position, and the stop time is used to generate the arrival time. The arrival and departure times along with their associated geographical locations can be supplied to the user via the Internet.
  • In the motion-activated location tracking, adaptive motion sensor 126 has a layer of filtering that is capable of filtering out unwanted starts and stops such that mobile terminal 120 only transmits true arrival and departure information. For example, mobile terminal 120 can be configured to only transmit starts or stops when the change in motion detected by adaptive motion sensor 126 is maintained for a configurable percentage of time. In this manner, only accurate arrival and departure time information is transmitted by mobile terminal 120 using filtered results of adaptive motion sensor 126. This layer of filtering saves on unwanted transmissions, and hence power, bandwidth, and cost.
  • The mobile terminal can be configured to transmit a position report after the actual arrival or departure times when the motion sensor has reached its “no-motion” or “motion” times, respectively. The “motion” and “no-motion” times can be separately configurable, for example, from one minute up to two hours. For example, if the “motion” time is set at 15 minutes, then the mobile terminal will only transmit departure time information at the expiration of the 15-minute “motion” time period should the motion condition be valid for greater than a configurable percentage of time. This configurability can be used to allow more time to exit an area of interest, or allow more time at rest stops along the way. Once the motion sensor has determined that the mobile terminal has entered a “motion” state, the mobile terminal can then be configured to transmit status reports periodically (e.g., once every X minutes/hours).
  • The user-configurable “motion sensitivity” can be implemented as the percentage of time the asset needs to remain in motion during the “motion time” to signal motion. This is useful, for example, in maintaining a motion condition while stopped at a traffic light or a rest stop. Conversely, the user-configurable “no-motion sensitivity” can be implemented as the percentage of time the asset needs to remain in no-motion during the “no-motion” time to signal no-motion. This is useful, for example, in maintaining a no-motion condition while moving a trailer within a yard. A detailed description of this communications process is provided in U.S. Pat. No. 7,498,925, entitled “System and Method for Reporting a Status of an asset,” which is incorporated herein by reference in its entirety.
  • In the present invention, the tracking mechanism provides movement information that can be used in automated decision processes that relate to asset location and utilization, thereby saving considerable fuel, equipment, and man-hour cost. In one example, the asset location information can be used to correlate value to pertinent landmark information. More generally, alert information can be generated when asset utilization is not optimized by geographical area or balanced for optimal regional requirements.
  • One example of a decision process support (DPS) tool application is an optimized asset application. This optimized asset application is based on a set of one or more customized business rules. In one embodiment, these customized business rules are established by a user through a web interface based application. In one example, an asset optimization application can include weighted business rules such as the following: Asset Distance from Truck, Asset Distance from Load Point, Asset Idle Time (or non-utilization), Asset Pool Assignment—Landmark (e.g., target number of assets assigned to Landmark), Pool Location Idles Days Target, Pool Location Turn-time (i.e., arriving to leaving time) Target, Asset Group Assignment, Trailer Status—Empty or Loaded, Cost per Mile Traveled, Revenue per Asset Day (e.g., based on value of freight), Revenue per Landmark, and Landmark Status (Pool Status) On/Off or Assigned Weight.
  • Each business rule can be assigned a weight by importance and can be used to measure and recommend the best assets for the job requirement. In one embodiment, the job requirement details to be measured are as follows, Truck position, Load point position (Origin), End point position (Destination), Asset positions, Distance, and Cost and Profitability.
  • FIG. 2 illustrates an example workflow process based on a set of weighted business rules. As illustrated, the process begins at step 202 where a driver drops a trailer at a location and needs a new trailer assigned to him for the next job. At step 204, the load planner then selects the landmark location of the driver (e.g., 4-5 letter code). The location of the driver and origin of the job (i.e., load at point) are then provided to the DPS tool at step 206. The DPS tool then measures, at step 208, all trailer locations, driver positions, load destinations, distance from all assets against the business rules setup by the customer. At step 210, the list of sorted assets are then returned to the load planner (e.g., via XML). This list of assets is sorted based on the business rules defined for the customer. Finally, at step 212, the load planner selects the asset for the job and dispatches it to the driver.
  • As noted above, various business rules can be defined that relate to asset-specific statistics as well as asset-pool statistics. An example of an asset-specific statistic is a distance from an asset (e.g., trailer) to an asset transporter (e.g., truck). It is a feature of the present invention that business rules can be custom defined for individual landmark areas. These landmark areas can be defined by the customer in identifying a pooling area (e.g., trailer yard) for a plurality of assets.
  • The adaptive motion sensor technology in the mobile terminals affixed to the assets enables accurate assessments of activity in relation to a defined landmark area. For example, the filtering of results produced by the adaptive motion sensor can more clearly identify when an asset has actually arrived at a destination defined by a landmark area. For example, only after an asset has achieved a no-motion condition for greater than a defined percentage of a period of time would the asset considered to be stopped. If the location of the stopped position is within a landmark boundary area, then the asset would be considered to have arrived at that landmark area. The time of arrival can be considered the time that the asset was first determined to have entered into a no-motion state.
  • This tracking mechanism is in contrast to perimeter crossing mechanisms that can only determine when an asset has crossed a geographic boundary threshold, which is distinct from the actual arrival point. Simple motion sensing is also inaccurate due to the potential for multiple starts and stops within a defined landmark area (e.g., movement within a trailer yard).
  • The statistics generated by assets within a landmark area can represent asset-pool statistics that can drive a business rule analysis for such a landmark area. As would be appreciated, the business rule can be separately and individually customized for each landmark area.
  • As an example, consider a business rule that relates to a turn-time target for a given pool location. This turn-time target can be defined as a target amount of time (e.g., days/hours) between an arrival and departure of an asset from a landmark area. Again, the arrival and departure times generated from a conventional boundary crossing methodology would yield inaccurate and inconsistent results. Statistics regarding the turn time of assets that enter and leave the landmark area can be used to determine the efficiency of an asset pool assigned to that landmark area. If the turn-time statistics indicate a result greater than a threshold, then the DPS tool can elevate assets in that landmark area for immediate or near-future assignment. Conversely, if the turn-time statistics indicate a result significantly less than a threshold, then the DPS tool can prevent assets in that landmark area from immediate or near-future reassignment.
  • As another example, consider an asset pool assignment for a landmark area. This asset pool assignment can identify a target number of assets for a given landmark area. If the number of assets at a given landmark area exceeds the threshold, then the DPS tool can elevate one or more assets in that landmark area for immediate or near-future assignment.
  • As these examples illustrate, the selection of assets to be assigned can be based on more than individual asset statistics. In the present invention, management of pools of assets is enabled. This area represents another example of a DPS tool application that relates to an asset pool management and geographical balance application.
  • In one embodiment, this application is designed to provide the user with near-real-time asset balance information based on the end user target pool and geographical goals. The application also leverages the GLS and adaptive motion sensor features described above, in having near-real-time updates of asset movement integrated with the DPS tool. With this integration, the customer can view network imbalances as they happen, thus providing the user with the ability to take corrective action to counteract such network imbalances.
  • In one embodiment, the DPS tool provides the end user with the ability to designate target asset quantities by Customer Pool—Landmark Location, or Customized Geographical Area, which can include multiple Landmark Locations within the Customized Geographical Area. The tool can display this information at two levels, Landmark level and Geographical level and can provide alerts when locations exceed a predetermined imbalance threshold.
  • For example, an end user landmark location or customized geographical area can have a target pool of 10 trailers. When the location or area exceeds 120% of the user defined target an alert is generated. Similarly, when the location or area drops below 80% of its user defined target an alert is generated. Alerts can also be generated based on the monitoring of other statistics such as average idle asset days at location or area per month, average cost per idle asset day, average asset turn-time, etc.
  • FIG. 3 illustrates an example reporting process that incorporates asset pool management and geographical balance. As illustrated, the process begins at step 302 where a user defines landmark locations and/or customized geographical area using the setup tools.
  • In one embodiment, the setup tools are provided through a web driven graphical user interface. In general, the graphical user interface can enable the user to define a landmark location or customized geographical area using drawing tools that define an area using specified shapes, points, lines, etc. Where the graphical user interface is used to define a customized geographical area, the user can also provide inputs that select multiple landmark locations instead of defining an actual contiguous region. These multiple landmark locations can be specified using a pointing tool or through the selection from a graphical listing.
  • In this process, landmarks locations can be associated with one or more customized geographical areas. As such, the customized geographical areas can be mutually exclusive or can overlap in some fashion. In general, the customized geographical areas can be used to define separate regions that have independent significance from a monitoring perspective.
  • At step 304, the asset locations and movements are monitored via the asset tracking system. In one embodiment, the relevance of asset locations can be based on whether an asset is inside or outside of a defined landmark location or customized geographical area.
  • As noted above, the adaptive motion sensor technology in the mobile terminals affixed to the assets enables accurate assessments of an asset's location relative to a defined location or area. This accuracy is enabled by the filtering of adaptive motion sensor results to identify when an asset has actually arrived at a destination defined by a location or area. This processing and analysis is distinct from conventional boundary crossing mechanisms that can only infer, for example, that an asset has arrived at a destination location.
  • Based on this tracking data, the DPS tool can perform near-real-time balancing analysis of landmark locations and customized geographic areas at step 306. More specifically, the DPS tool can determine a number of assets that have arrived and are currently located within each landmark location and customized geographic area. This determined number of assets within each landmark location and customized geographic area can represent the pool of assets associated with each landmark location and customized geographical area.
  • Based on this analysis, the DPS tool can then compare the determined pool of assets within each landmark location and customized geographical area to any thresholds defined relative to a target pool of assets for each landmark location and customized geographical area. The customer can define a target pool of assets for each landmark location and customized geographical area. This target pool of assets can represent the customer's desires for an allocation of asset resources across the various landmark locations and customized geographical areas.
  • Using the determined pool of assets within each landmark location and customized geographical area, the DPS tool can then determine whether a threshold has been crossed relative to a target pool (e.g., over 120% or below 80%). If a threshold has been crossed, then a near-real-time alert can be generated by the DPS tool and provided to the customer at step 308. This alert can signal to the customer that a geographical imbalance exists amongst the assets and that an asset pool management adjustment may need to be made. As part of the reporting process, the DPS tool can also be designed to provide the customer with periodic reports (e.g., via email, voice messages, text messages, or the like) that can detail the current asset pool levels.
  • Asset pool management statistics can also be retrieved for the defined landmarks and/or customized geographical areas using a graphical user interface such as that illustrated in FIG. 4. In one embodiment, asset pool management statistics can be displayed visually using heat maps or other graphical illustrations that provide an indication of the relative measure of a measured statistic as compared to one or more thresholds. As would be appreciated, the asset pool management and geographical balancing process can be based on the number of assets alone or in combination with other statistics such as average idle asset days at location or area per month, average cost per idle asset day, average asset turn-time, etc. In general, any set of one or more statistics that provide an indication of asset utilization and non-utilization can be used to drive an asset pool management and geographical balancing application.
  • Another example of a DPS tool application is an evaluation of an asset turn-time between a departure and a return to a defined landmark location. This round trip asset turn-time bears some similarity to the turn-time within a landmark location.
  • To illustrated this feature of the present invention, reference is now made to the flowchart of FIG. 5 as applied to an application directed to border crossing asset management. As illustrated, the process begins at step 502 where a landmark location is defined. This landmark location can be defined at a border crossing point into and out of a country (e.g., border crossing between the United States and Mexico).
  • At step 504, an asset's departure from the border landmark location would be monitored. In effect, the report received from the border landmark location would log the start date and time that the asset enters Mexico. In one embodiment, this start time can be used to start a turn-time timer. At step 506, an asset's rentry into the United states would trigger a second report that logs the end date and time that the asset departs Mexico. This end date and time can then be used at step 508 to identify a round trip turn-time for the trip across the border.
  • In the example noted above, the round trip turn-time is based on exit and reentry to a particular landmark location. As multiple border crossings exist, landmark locations can be defined for each of the multiple border crossings. The multiple border crossings can then be grouped together as a customized geographical area. As noted above, the customized geographical area need not be contiguous. In this example, the round trip turn-time for the cross border trip can be based on exit and reentry to the customized geographical area.
  • Based on the determined round trip turn-times for a plurality of assets, the DPS tool can provide performance reports by Asset Turn-time by Trip, Average Asset Turn-time, Average Fleet Turn-time Performance, etc. For example, the report can specify that XYZ customer had 24 asset arrivals in a particular month and the average trailer turn-time in and out of Mexico for that location for the month was 8.73 days.
  • In addition to the above, the DPS application can also associate a landmark location with a trailer destination in Mexico. Turn-time performance for that landmark location can then be generated to distinguish the destination turn-time from the actual travel time.
  • Moreover, the user can also designate areas of Mexico that are no travel areas for their assets. The no travel areas can be designated using landmark or customized geographical areas. Alerts can also be set up for notifications as assets enter the no travel areas allowing the end user to identify a potential problem. Similarly, the user can designate preferred travel areas that are normally used by their assets. Thus, if an asset leaves those designated areas, an alert is generated and sent to the user.
  • Another example of a DPS tool application is a detention billing application. With this application, customers can set up detention billing rules for a landmark location or customized geographical area. For example, the detention billing rules can include, Landmark Free Days—free days asset can dwell at a landmark location or customized geographical area, Detention billing threshold—when an asset exceeds this number of days of detention at a landmark location or customized geographical area then billing begins, and Dollar amount to be billed per day. The user can also can set up an alert by landmark location or customized geographical area, with a customized message field, that sends an email or other message to key personnel stating that a detention billing event is about to begin. The end user can define when the alerts are to be sent. For example, 1-10 days before the detention event is to occur, each day during the detention event, or not to exceed number of alerts.
  • In one example, the detention billing module provides the end user with a report at the end of each month for detention billing purposes. The report can include landmark location or customized geographical area arrival and departure dates and time for all assets, Each asset idle time at the landmark location or customized geographical area for the month, Total number of idle days at the landmark location or customized geographical area, Total number of idle days above free time, Amount billed per idle day above free time, and Total amount to be billed for the month at the landmark location or customized geographical area.
  • These and other aspects of the present invention will become apparent to those skilled in the art by a review of the preceding detailed description. Although a number of salient features of the present invention have been described above, the invention is capable of other embodiments and of being practiced and carried out in various ways that would be apparent to one of ordinary skill in the art after reading the disclosed invention, therefore the above description should not be considered to be exclusive of these other embodiments. Also, it is to be understood that the phraseology and terminology employed herein are for the purposes of description and should not be regarded as limiting.

Claims (13)

What is claimed is:
1. A method, comprising:
receiving, by a computer implemented operations module via a communication network, a request for asset assignment from an asset transporter;
determining, for a plurality of customer defined landmark areas, a ranked list of assets in the plurality of customer defined landmark areas based on a customer defined weighting of a plurality of rules, the plurality of rules including a landmark specific threshold that relates to a target number of assets that are presently located in one of the plurality of customer defined landmark areas;
selecting an asset from the ranked list of assets; and
transmitting, via a communication network, an identification of the selected asset to the asset transporter.
2. The method of claim 1, wherein the plurality of rules includes a turn time target that identifies a target amount of time between an arrival and departure of an asset from a landmark area.
3. The method of claim 1, wherein the plurality of rules includes a rule based on a revenue generated per landmark area for a given time period.
4. The method of claim 1, wherein the plurality of rules includes a rule based on a number of asset idle days at a landmark area.
5. The method of claim 1, wherein the plurality of rules further includes a threshold that relates to a target number of assets that are presently located in a customer defined geographic area, the customer defined geographic area including a plurality of customer defined landmark areas.
6. An asset pool management method, comprising:
receiving, by a computer implemented operations module via a communication network, a definition of a geographical area for monitoring;
receiving, via a communication network, a target number of assets for the geographical area;
identifying a number of assets that are located within the geographical area at a given point in time; and
generating an alert when the identified number of assets is greater than a threshold variance from the target number of assets.
7. The method of claim 6, wherein the geographical area is a landmark location.
8. The method of claim 6, wherein the geographical area is a customized geographical area that includes a plurality of landmark locations, each of the plurality of landmark locations having associated therewith a respective target number of assets.
9. The method of claim 6, wherein the identifying comprises identifying a number of assets that are located within the geographical area based on arrival reports that are generated after an asset has remained in a no motion state for greater than a predefined percentage of a period of time.
10. The method of claim 6, wherein said generating comprises generating an alert if the identified number of assets is greater than a threshold variance above the target number of assets.
11. The method of claim 6, wherein the generating comprises generating an alert if the identified number of assets is greater than a threshold variance below the target number of assets.
12. A method, comprising:
receiving, by a computer implemented operations module via a communication network, a request for asset assignment from an asset transporter;
selecting an asset from a ranked list of assets, wherein the ranked list of assets is based at least in part on a landmark specific threshold that relates to a target number of assets that are presently located in a customer defined landmark areas; and
transmitting, via a communication network, an identification of the selected asset to the asset transporter.
13. The method of claim 12, wherein the ranked list of assets is further based on a threshold that relates to a target number of assets that are presently located in a customer defined geographic area, the customer defined geographic area including a plurality of customer defined landmark areas.
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US16/840,082 US11120393B2 (en) 2008-10-06 2020-04-03 System and method for increasing asset utilization using satellite aided location tracking
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20200051005A1 (en) * 2018-08-09 2020-02-13 Blackberry Limited Method and system for yard asset management
US11120393B2 (en) * 2008-10-06 2021-09-14 Skybitz, Inc. System and method for increasing asset utilization using satellite aided location tracking

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2572455C (en) 2004-06-04 2014-10-28 Therasense, Inc. Diabetes care host-client architecture and data management system
WO2011041531A1 (en) 2009-09-30 2011-04-07 Abbott Diabetes Care Inc. Interconnect for on-body analyte monitoring device
US10136845B2 (en) 2011-02-28 2018-11-27 Abbott Diabetes Care Inc. Devices, systems, and methods associated with analyte monitoring devices and devices incorporating the same
JP2014077777A (en) * 2012-09-21 2014-05-01 Ricoh Co Ltd Communication terminal, communication method and program
US20150339595A1 (en) * 2014-05-22 2015-11-26 Peter Soutter Method and system for balancing rental fleet of movable asset
JP6773024B2 (en) * 2015-03-06 2020-10-21 ソニー株式会社 Recording device, recording method and computer program
US11100453B2 (en) * 2015-07-08 2021-08-24 Avaya Inc. Agent interaction during operation of an unmanned delivery service
US20180349833A1 (en) * 2017-06-06 2018-12-06 Blackberry Limited Managing usage of cargo transportation units
US11037095B2 (en) * 2017-09-11 2021-06-15 Accenture Global Solutions Limited Distributed ledger technology for freight system
US20200090294A1 (en) * 2018-09-14 2020-03-19 Blackberry Limited Method and system for pool management of transportation assets

Citations (32)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5122959A (en) * 1988-10-28 1992-06-16 Automated Dispatch Services, Inc. Transportation dispatch and delivery tracking system
US5880958A (en) * 1994-04-12 1999-03-09 Qualcomm Incorporated Method and apparatus for freight transportation using a satellite navigation system
US6415219B1 (en) * 1999-12-21 2002-07-02 Zakrytoye East Line-Handling Technique of real-time tracking and management of land-based vehicles of the airport
US20020161509A1 (en) * 2001-04-30 2002-10-31 Fawcett David C. System and method for tracking trailers
US20030014288A1 (en) * 2001-07-12 2003-01-16 Lloyd Clarke System and method for managing transportation demand and capacity
US20030040944A1 (en) * 2001-08-22 2003-02-27 Hileman Ryan M. On-demand transportation system
US20030069680A1 (en) * 2001-10-05 2003-04-10 Caterpillar Inc. Multi-stage truck assignment system and method
US6587738B1 (en) * 1999-12-30 2003-07-01 Ge-Harris Railway Electronics, L.L.C. Optimal locomotive assignment for a railroad network
US20040024711A1 (en) * 2002-08-01 2004-02-05 Walt Camping Method of and system for filing orders
US6975997B1 (en) * 1999-07-07 2005-12-13 Honda Giken Kogyo Kabushiki Kaisha Method for efficient vehicle allocation in vehicle sharing system
US20060059023A1 (en) * 2002-08-02 2006-03-16 Alex Mashinsky Method system and apparatus for providing transportation services
US20060206387A1 (en) * 2005-03-11 2006-09-14 Oracle International Corporation Transportation planning with multi-level firming
US20070005200A1 (en) * 2005-03-14 2007-01-04 Wills Mitchell S System and method for railyard planning
US20070027593A1 (en) * 2005-07-14 2007-02-01 Baiju Shah Predictive monitoring for vehicle efficiency and maintenance
US20070150130A1 (en) * 2005-12-23 2007-06-28 Welles Kenneth B Apparatus and method for locating assets within a rail yard
US20070291985A1 (en) * 2006-06-20 2007-12-20 Nils Oliver Krahnstoever Intelligent railyard monitoring system
US20080027772A1 (en) * 2006-07-31 2008-01-31 Gernega Boris System and method for optimizing a transit network
US20080154692A1 (en) * 2006-03-14 2008-06-26 Prescott Logan System and method for rail yard process monitoring
US20080294491A1 (en) * 2004-06-14 2008-11-27 Richard Hersh Dynamic and Predictive Information System and Method for Shipping Assets and Transport
US20080312820A1 (en) * 2007-06-14 2008-12-18 Ajesh Kapoor Method of driver assignment and scheduling segmented long-haul routes
US20090083091A1 (en) * 2007-09-24 2009-03-26 Katherine Kristin Rust Method and apparatus for assigning material transport vehicle idle locations
US20090082962A1 (en) * 2007-09-20 2009-03-26 Qualcomm Incorporated Routing Drivers to Trailers Effectively
US20090099897A1 (en) * 2007-10-15 2009-04-16 I.D. Systems, Inc. System and method for managing mobile asset workload
US7528715B2 (en) * 2006-01-10 2009-05-05 Lg Chem, Ltd. Method for optimal multi-vehicle dispatch and system for the same
US20090143927A1 (en) * 1994-09-01 2009-06-04 General Electric Company System and method for dispatching by exception
US20090157461A1 (en) * 2007-12-12 2009-06-18 Honeywell International Inc. Vehicle deployment planning system
US7561069B2 (en) * 2003-11-12 2009-07-14 Legalview Assets, Limited Notification systems and methods enabling a response to change particulars of delivery or pickup
US7567811B2 (en) * 2005-06-03 2009-07-28 Alcatel-Lucent Usa Inc. Management and dispatching of mobile service vehicles
US20090189788A1 (en) * 2008-01-29 2009-07-30 Qualcomm Incorporated System and method for sensing cargo loads and trailer movement
US20090326991A1 (en) * 2008-06-27 2009-12-31 E-Lantis Corporation Gps and wireless integrated fleet management system and method
US7898411B2 (en) * 2003-12-12 2011-03-01 Skybitz, Inc. System and method for asset tracking and monitoring
US20110093306A1 (en) * 2009-08-11 2011-04-21 Certusview Technologies, Llc Fleet management systems and methods for complex event processing of vehicle-related information via local and remote complex event processing engines

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6687609B2 (en) * 2002-06-13 2004-02-03 Navcom Technology, Inc. Mobile-trailer tracking system and method
US8510180B2 (en) * 2008-10-06 2013-08-13 Skybitz, Inc. System and method for increasing asset utilization using satellite aided location tracking
EP2576316A2 (en) * 2010-05-31 2013-04-10 Central Signal, LLC Train detection
US9173061B2 (en) * 2012-12-17 2015-10-27 Apple Inc. Monitoring a mobile device en route to destination
JP6351142B2 (en) * 2013-08-30 2018-07-04 三菱重工機械システム株式会社 Operation management system, operation management method and program

Patent Citations (36)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5122959A (en) * 1988-10-28 1992-06-16 Automated Dispatch Services, Inc. Transportation dispatch and delivery tracking system
US5880958A (en) * 1994-04-12 1999-03-09 Qualcomm Incorporated Method and apparatus for freight transportation using a satellite navigation system
US20090143927A1 (en) * 1994-09-01 2009-06-04 General Electric Company System and method for dispatching by exception
US6975997B1 (en) * 1999-07-07 2005-12-13 Honda Giken Kogyo Kabushiki Kaisha Method for efficient vehicle allocation in vehicle sharing system
US6415219B1 (en) * 1999-12-21 2002-07-02 Zakrytoye East Line-Handling Technique of real-time tracking and management of land-based vehicles of the airport
US6587738B1 (en) * 1999-12-30 2003-07-01 Ge-Harris Railway Electronics, L.L.C. Optimal locomotive assignment for a railroad network
US20020161509A1 (en) * 2001-04-30 2002-10-31 Fawcett David C. System and method for tracking trailers
US20030014288A1 (en) * 2001-07-12 2003-01-16 Lloyd Clarke System and method for managing transportation demand and capacity
US20030040944A1 (en) * 2001-08-22 2003-02-27 Hileman Ryan M. On-demand transportation system
US20030069680A1 (en) * 2001-10-05 2003-04-10 Caterpillar Inc. Multi-stage truck assignment system and method
US20040024711A1 (en) * 2002-08-01 2004-02-05 Walt Camping Method of and system for filing orders
US20060059023A1 (en) * 2002-08-02 2006-03-16 Alex Mashinsky Method system and apparatus for providing transportation services
US7561069B2 (en) * 2003-11-12 2009-07-14 Legalview Assets, Limited Notification systems and methods enabling a response to change particulars of delivery or pickup
US7898411B2 (en) * 2003-12-12 2011-03-01 Skybitz, Inc. System and method for asset tracking and monitoring
US20080294491A1 (en) * 2004-06-14 2008-11-27 Richard Hersh Dynamic and Predictive Information System and Method for Shipping Assets and Transport
US20090030770A1 (en) * 2004-06-14 2009-01-29 Rentar Environmental Solutions, Inc. Dynamic and predictive information system and method for shipping assets and transport
US20060206387A1 (en) * 2005-03-11 2006-09-14 Oracle International Corporation Transportation planning with multi-level firming
US20070005200A1 (en) * 2005-03-14 2007-01-04 Wills Mitchell S System and method for railyard planning
US7567811B2 (en) * 2005-06-03 2009-07-28 Alcatel-Lucent Usa Inc. Management and dispatching of mobile service vehicles
US20070027593A1 (en) * 2005-07-14 2007-02-01 Baiju Shah Predictive monitoring for vehicle efficiency and maintenance
US20110130914A1 (en) * 2005-07-14 2011-06-02 Baiju Shah Monitoring for equipment efficiency and maintenance
US20070150130A1 (en) * 2005-12-23 2007-06-28 Welles Kenneth B Apparatus and method for locating assets within a rail yard
US7528715B2 (en) * 2006-01-10 2009-05-05 Lg Chem, Ltd. Method for optimal multi-vehicle dispatch and system for the same
US20080154692A1 (en) * 2006-03-14 2008-06-26 Prescott Logan System and method for rail yard process monitoring
US20070291985A1 (en) * 2006-06-20 2007-12-20 Nils Oliver Krahnstoever Intelligent railyard monitoring system
US20080027772A1 (en) * 2006-07-31 2008-01-31 Gernega Boris System and method for optimizing a transit network
US20080312820A1 (en) * 2007-06-14 2008-12-18 Ajesh Kapoor Method of driver assignment and scheduling segmented long-haul routes
US20090082962A1 (en) * 2007-09-20 2009-03-26 Qualcomm Incorporated Routing Drivers to Trailers Effectively
US20090083091A1 (en) * 2007-09-24 2009-03-26 Katherine Kristin Rust Method and apparatus for assigning material transport vehicle idle locations
US8055533B2 (en) * 2007-09-24 2011-11-08 Advanced Micro Devices, Inc. Method and apparatus for assigning material transport vehicle idle locations
US20090099897A1 (en) * 2007-10-15 2009-04-16 I.D. Systems, Inc. System and method for managing mobile asset workload
US20090099898A1 (en) * 2007-10-15 2009-04-16 I.D Systems, Inc. System and method for managing work requests for mobile assets
US20090157461A1 (en) * 2007-12-12 2009-06-18 Honeywell International Inc. Vehicle deployment planning system
US20090189788A1 (en) * 2008-01-29 2009-07-30 Qualcomm Incorporated System and method for sensing cargo loads and trailer movement
US20090326991A1 (en) * 2008-06-27 2009-12-31 E-Lantis Corporation Gps and wireless integrated fleet management system and method
US20110093306A1 (en) * 2009-08-11 2011-04-21 Certusview Technologies, Llc Fleet management systems and methods for complex event processing of vehicle-related information via local and remote complex event processing engines

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11120393B2 (en) * 2008-10-06 2021-09-14 Skybitz, Inc. System and method for increasing asset utilization using satellite aided location tracking
US20220101255A1 (en) * 2008-10-06 2022-03-31 Skybitz, Inc. System and method for increasing asset utilization using satellite aided location tracking
US20200051005A1 (en) * 2018-08-09 2020-02-13 Blackberry Limited Method and system for yard asset management
US11288624B2 (en) * 2018-08-09 2022-03-29 Blackberry Limited Method and system for yard asset management

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