Method And System For Adjusting A Demand-Response Transit Schedule

• US 20130218455A1
• Filed: 08/10/2012
• Published: 08/22/2013
• Est. Priority Date: 02/16/2012
• Status: Active Grant

• Current Assignee: Trapeze Software Inc.
• Original Assignee: Trapeze Software Inc.
• Inventors: CLARK, Jarrod Gregory
• Granted Patent: US 8,781,726 B2
• Time in Patent Office: Days
• US Class Current: 701/411
• CPC Class Codes: G06Q 10/08 Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
• CPC Class Codes: G06Q 50/40 Business processes related to the transportation industry shipping G06Q10/083

Abstract

A method and system for adjusting a demand-response transit schedule is provided. A demand-response transit schedule is reviewed during performance of the demand-response transit schedule. The fact that the demand-response transit schedule may need to be adjusted is detected. The demand-response transit schedule is then adjusted.

Claims

1. A method for adjusting a demand-response transit schedule, comprising:

reviewing a demand-response transit schedule during performance of said demand-response transit schedule;

detecting that said demand-response transit schedule may need to be adjusted; and

adjusting said demand-response transit schedule.

2. The method of claim 1, wherein said detecting comprises:

determining how said demand-response transit schedule fits received trips requests for a time period covered by said demand-response transit schedule.

3. The method of claim 2, wherein said determining comprises:

calculating scores for runs of said demand-response transit schedule; and

determining if any of said scores for said runs score exceeds a threshold.

4. The method of claim 3, wherein each of said scores is a weighted value of characteristics of a corresponding one of said runs.

5. The method of claim 4, wherein said characteristics include at least one of:

distance, time, passenger on-board time, back-tracking, and slack time.

6. The method of claim 4, wherein said characteristics include at least one of:

arriving early for a trip, arriving late for a trip, exceeding a maximum on-board time for a passenger, hostage time, exceeding a vehicle capacity, and exceeding a seating capacity.

7. The method of claim 2, wherein said detecting further comprises:

calculating a score for said demand-response transit schedule; and

determining if said score exceeds a threshold.

8. The method of claim 7, wherein said characteristics include at least one of:

distance, time, passenger on-board time, back-tracking, slack time, the number of pull-outs.

9. The method of claim 7, wherein said characteristics include at least one of:

arriving early for a trip, arriving late for a trip, exceeding a maximum on-board time for a passenger, hostage time, exceeding a vehicle capacity, exceeding a seating capacity.

10. A computer system for adjusting a demand-response transit schedule, comprising:

storage storing a demand-response transit schedule and computer-executable instructions;

a processor executing said computer-executable instructions and reviewing a demand-response transit schedule during performance of said demand-response transit schedule, detecting that said demand-response transit schedule may need to be adjusted, and adjusting said demand-response transit schedule.

11. The computer system of claim 10, wherein said processor determines how said demand-response transit schedule fits received trips requests for a time period covered by said demand-response transit schedule.

12. The computer system of claim 11, wherein said processor calculates scores for runs of said demand-response transit schedule, and determines if any of said scores for said runs score exceeds a threshold.

13. The computer system of claim 12, wherein each of said scores is a weighted value of characteristics of a corresponding one of said runs.

14. The computer system of claim 13, wherein said characteristics include at least one of:

distance, time, passenger on-board time, back-tracking, and slack time.

15. The computer system of claim 13, wherein said characteristics include at least one of:

arriving early for a trip, arriving late for a trip, exceeding a maximum on-board time for a passenger, hostage time, exceeding a vehicle capacity, and exceeding a seating capacity.

16. The computer system of claim 11, wherein said processor calculates a score for said demand-response transit schedule, and determining if said score exceeds a threshold.

17. The computer system of claim 16, wherein said characteristics include at least one of:

distance, time, passenger on-board time, back-tracking, slack time, the number of pull-outs.

18. The computer system of claim 16, wherein said characteristics include at least one of:

arriving early for a trip, arriving late for a trip, exceeding a maximum on-board time for a passenger, hostage time, exceeding a vehicle capacity, exceeding a seating capacity.