Allocating freight haulage jobs

• US 7,353,181 B2
• Filed: 08/15/2001
• Issued: 04/01/2008
• Est. Priority Date: 08/15/2001
• Status: Active Grant

• Current Assignee: Uber Technologies, Inc.
• Original Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Inventors: Nel, André M. E.
• Primary Examiner(s): Jeanty; Romain
• Assistant Examiner(s): Sterrett; Jonathan G
• Application Number:
  US09/930,640
• Publication Number:
  US 20030036935A1
• Time in Patent Office: 2,421 Days
• Field of Search: 705/7, 705/8, 708/8
• US Class Current: 705/7.22
• CPC Class Codes: G06Q 10/06312 Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
• CPC Class Codes: G06Q 10/08 Logistics, e.g. warehousing, loading or distribution; Inventory or stock management

Abstract

In one aspect, a global freight haulage job manager is configured collect excess capacity information and freight haulage job information on the fly, and automatically match freight haulage jobs to excess capacity in real time. The global freight haulage job manager is configured to receive carrier capacity attributes, including position information, route information and excess capacity information, for each of a set of mobile carrier entities, and to receive from one or more shippers shipping attributes for each of a set of freight haulage jobs. Based upon the received mobile carrier capacity attributes, the global freight haulage job manager is configured to compute a projection of available carrier capacity. One or more freight haulage job candidates then are identified from the set of mobile carrier entities based upon the computed projection of available carrier capacity and the received shipping attributes for the set of freight haulage jobs.

Claims

1. A computer-implemented method of allocating freight haulage jobs, comprising:

receiving from a first entity a respective set of capacity attributes for each of one or more freight-hauling mobile carrier entities on route to respective destinations for respective current freight haulage jobs, wherein each of the transmitted sets of capacity attributes comprises position information, route information and excess capacity information specifying current available freight-hauling capacity of the respective mobile carrier entity, wherein the received excess capacity information includes amount of available capacity and mode of transport;

computing a projection of future available carrier capacity based upon the received mobile carrier capacity attributes;

receiving from a second entity a respective specification for each of one or more freight haulage jobs;

determining ones of the mobile carrier entities that match respective ones of the freight haulage jobs based upon the computed projection of future available carrier capacity and the specifications of the freight haulage jobs, wherein the determining comprises identifying the matching ones of the mobile carrier entities based at least in part upon a comparison of the received excess capacity information and an amount of needed capacity and mode of transport specified for each of the freight haulage jobs; and

transmitting to the second entity a notification of one or more of the matching mobile carrier entities.

2. The method of claim 1, wherein the computing comprises estimating future positions of one or more of the mobile carrier entities.

3. The method of claim 2, wherein the estimating comprises estimating the future positions of one or more of the mobile carrier entities at one or more times within pickup time windows specified for each of the freight haulage jobs.

4. The method of claim 2, wherein the estimating comprises estimating the future positions of one or more of the mobile carrier entities based at least in part upon current transport condition information.

5. The method of claim 2, wherein the determining comprises identifying the matching ones of the mobile carrier entities based at least in part upon the proximity of the estimated mobile carrier entity positions to pickup locations specified for each of the freight haulage jobs.

6. The method of claim 1, further comprising computing an amount of capacity available on a given one of the mobile carrier entities based upon excess capacity information received from the given mobile carrier entity.

7. The method of claim 6, wherein the excess capacity information received from the given mobile carrier entity includes maximum volume information and maximum weight haulable by the given mobile carrier entity and volume information and weight for each item of freight being hauled by the given mobile carrier entity.

17. The method of claim 1, wherein the receiving from the first entity comprises prompting the first entity to enter the respective capacity attributes.

18. The method of claim 1, further comprising selecting one of the matching mobile carrier entities to perform a particular one of the freight haulage jobs.

19. The method of claim 18, further comprising receiving respective haulage rates from ones of the mobile carrier entities, wherein the selecting is based at least in part on the received haulage rates.

20. The method of claim 1, wherein the excess capacity information is expressed in terms of volume and weight available on respective ones of the mobile carrier entities.

8. A computer readable medium for allocating freight haulage jobs, the computer-readable medium comprising computer-readable instructions for causing a computer to:

receive from one or more users respective capacity attributes, including position information, route information and excess capacity information specifying available freight-hauling capacity, for each mobile carrier entity in a set of freight-hauling mobile carrier entities, wherein the received excess capacity information includes amount of available capacity and mode of transport;

compute a projection of available carrier capacity based upon the received mobile carrier capacity attributes; and

identify one or more freight haulage job candidates from the set of mobile carrier entities based upon the computed projection of available carrier capacity and shipping attributes for each of a set of freight haulage jobs, wherein the computer-readable instructions cause the computer to identify the one or more freight haulage job candidates based at least in part upon a comparison of the received excess capacity information and an amount of needed capacity and mode of transport specified for each of the freight haulage jobs.

9. The computer readable medium of claim 8, wherein computing the projection of available carrier capacity comprises estimating future positions of one or more of the mobile carrier entities.

10. The computer readable medium of claim 9, wherein future positions of one or more of the mobile carrier entities are estimated at one or more times within pickup time windows specified for each of the freight haulage jobs.

11. The computer readable medium of claim 10, wherein the freight haulage job candidates are identified based at least in part upon the proximity of the estimated mobile carrier entity positions to pickup locations specified for each of the freight haulage jobs.

12. The computer readable medium of claim 8, further comprising computing an amount of capacity available on a given mobile carrier entity based upon excess capacity information received from the given mobile carrier entity.

13. The computer readable medium of claim 12, wherein the excess capacity information received from the given mobile carrier entity includes maximum volume information and maximum weight haulable by the given mobile carrier entity and volume information and weight for each item of freight being hauled by the given mobile carrier entity.

14. A system, comprising:

a freight haulage job manager operable to perform operations comprising

receiving from a first entity a respective set of capacity attributes for each of one or more freight-hauling mobile carrier entities on route to respective destinations for respective current freight haulage jobs, wherein each of the transmitted sets of capacity attributes comprises position information, route information and excess capacity information specifying current available freight-hauling capacity of the respective mobile carrier entity, wherein the received excess capacity information includes amount of available capacity and mode of transport,

computing a projection of future available carrier capacity based upon the received mobile carrier capacity attributes,

receiving from a second entity a respective specification for each of one or more freight haulage jobs,

determining ones of the mobile carrier entities that match respective ones of the freight haulage jobs based upon the computed projection of future available carrier capacity and the specifications of the freight haulage jobs, wherein the determining comprises identifying the matching ones of the mobile carrier entities based at least in part upon a comparison of the received excess capacity information and an amount of needed capacity and mode of transport specified for each of the freight haulage jobs, and

transmitting to the second entity a notification of one or more of the matching mobile carrier entities; and

one or more portable devices each of which is carried by a respective one of the mobile carrier entities and comprises

a portable housing incorporating a display screen and one or more control buttons,

a memory in the housing;

a wireless transceiver in the housing,

a positioner in the housing and operable to compute position information,

a scanner in the housing and operable to direct a light beam at a symbol and to recover information embedded in the symbol based upon detected reflections from the symbol, and

a controller in the housing and coupled to the memory, the wireless transceiver, the positioner, and the scanner and operable to obtain from the scanner capacity attributes, including position information, route information and excess capacity information, for the respective mobile carrier entity and to control wireless transmission of the capacity attributes through the wireless transceiver in accordance with a mobile wireless communication protocol.

15. The system, of claim 14, wherein the positioner comprises a GPS receiver.

16. The system, of claim 14, wherein the controller is operable to compute excess capacity information from scanned information relating to maximum volume information and maximum weight haulable by a given mobile carrier entity and volume information and weight for each item of freight being hauled by the given mobile carrier entity.