Method and apparatus generating and/or using estimates of arterial vehicular movement

• US 8,989,996 B1
• Filed: 03/11/2013
• Issued: 03/24/2015
• Est. Priority Date: 07/18/2008
• Status: Active Grant

• Current Assignee: Sensys Networks Inc. (Tagmaster AB)
• Original Assignee: Sensys Networks Inc. (Tagmaster AB)
• Inventors: Kavaler, Robert, Rajagopal, Ram, Varaiya, Pravin, Kwong, Karric
• Primary Examiner(s): Beaulieu, Yonel
• Application Number:
  US13/794,512
• Time in Patent Office: 743 Days
• Field of Search: 701/400, 701/414, 701/423, 701117-119, 701 23- 26, 736/49, 340933-934, 702/127
• US Class Current: 701/117
• CPC Class Codes: G08G 1/00 Traffic control systems for road vehicles arrangement of road signs or traffic signals E01F9/00 ; automatic vehicle control B62D
• CPC Class Codes: G08G 1/0104 Measuring and analyzing of parameters relative to traffic conditions
• CPC Class Codes: G08G 1/042 using inductive or magnetic detectors

Abstract

A roadway information system is disclosed with components generating and using vehicle signatures for vehicles passing near sensor pods located on or near lanes. These components in turn are part of and/or communicate with means and/or processors for generating an/or using Vehicle Movement Estimates based upon the vehicle signatures. The VME are used to create traffic feedback that may be presented to programmable field devices that may present at least some of the traffic feedback to drivers of the vehicles, thereby optimizing the fuel usage and travel time of the roadway.

Claims

1. An apparatus, comprising:

a processor configured to perform at least one of

generate a vehicular movement estimate (80) from at least one vehicle signature (26) each based upon sensor readings (22) of at least one vehicle (6) passing at least two sensor pods (20) each comprising at least one magneto-resistive sensor (144); and

/or

match lists (27) of incoming of said vehicle signatures (26) and of outgoing of said vehicle signatures of a multiple input-output roadway node (4) to create an in-out vehicle match table (32) to aid in generating said vehicular movement estimate; and

/or

use said vehicular movement estimate to create at least one traffic feedback (92); and

/or

communicate (24) with at least one of said sensor pods (20) that delimit at least one segment (12) to create at least one of said vehicle movement estimate for said segment; and

/or

communicate with said sensor pods near a lane (8) in and near said lane (8) out, both included in said multiple input-output roadway node (4);

wherein said vehicular movement estimate for said segment (12) between said sensor pods of a roadway (10) upon which said vehicle travels includes a travel time (82) and a vehicle count (84).

2. The apparatus of claim 1,

wherein said processor configured to use is further configured to receive (94) said vehicular movement estimate from at least one instance of said processor configured to generate;

and

wherein said processor configured to generate is further configured to communicatively couple (24) to at least two of said sensor pods.

3. The apparatus of claim 1, further comprising:

a roadway information system (14), comprising

at least one instance of said processor configured to generate; and

at least one of said processor configured to use communicatively coupled (94) to at least one of said instances of said processor configured to generate.

4. The apparatus of claim 1, further comprising:

a roadway information system (14), comprising at least one of

a first of said processor configured to communicate (24) with at least one of said sensor pods (20) that delimit at least one of said segments (12); and

/or

said second of said processor configured to communicate with said sensor pods near said lane (8) in and near said lane (8) out and/or

a third of said processor configured to use communicatively coupled (96) to at least one programmable field device (70) for presentation of said traffic feedback (92).

5. The apparatus of claim 1, wherein said sensor reading includes at least one magnetic reading.

6. The apparatus of claim 1, wherein said sensor pod includes at least two of said magnetic sensors oriented on said lane of said roadway.

7. The apparatus of claim 1, wherein said processor configured to generate said vehicular movement estimate for at least one of said lanes (8) in to at least one of said lanes (8) out of said multiple Input-Output roadway node (4) is further configured to interact with said processor configured to match (110).

8. The apparatus of claim 1, wherein said processor configured to match includes

a list manager (510), and a match maker (530);

wherein said list manager (510) is configured to manage a list of possible matches (520) of said incoming vehicle signatures and said outgoing vehicle signatures; and

wherein said match maker (530) is configured to

interact with said list manager to generate said in-out vehicle match table (32);

update a match tally (532) when a match is asserted between at least one of said incoming vehicle signatures and said outgoing vehicle signatures; and

respond to said match tally exceeding a match tally threshold (534) by committing said match and using said in-out vehicle match table to update said vehicle movement estimate (80), which is now accurate enough.

9. The apparatus of claim 8, wherein said processor configured to generate includes said processor configured to match (110).

10. The apparatus of claim 8, wherein at least one of

said processor and/or said list manager (510), and/or said match maker (530) includes at least one instance of at least one of:

a finite state machine, and/or

a configuration module configured to initialize a programmable logic device to create said finite state machine, and/or

a computer accessibly coupled to a computer readable memory including a program system (178) comprising at least one program step for instructing said computer, and/or

an inferential engine directed by a rule system including at least one member of an inference group consisting of at least one fact and at least one inference rule.

11. The apparatus of claim 10, further includes at least one of

a server containing an installation package for at least one of said configuration module, said program system and said rule system;

and/or

said computer readable memory including at least one member of the group consisting of configuration module, said program system, said rule system, and said installation package;

wherein said server is configured to communicate said installation package to at least one of said finite state machine, and/or said computer and/or said inferential engine.

12. The apparatus of claim 10, wherein said program system comprises at least one of the program steps of:

generating said vehicular movement estimate based upon said vehicle passing said at least two sensor pods; and

/or

using at least one of said vehicle movement estimates to create at least one traffic feedbacks; and

/or

operating a programmable field device based upon said traffic feedback.

13. The apparatus of claim 12,

wherein the program step generating said vehicular movement estimate comprises at least one of the program steps of:

acquiring said vehicle signatures for said at least two successive sensor pods based upon said sensor readings; and

/or

generating a scorecard (28, 29) of said vehicle signatures from said sensor pods;

matching said vehicle signatures based upon said scorecard to create an in-out vehicle match table (32); and

/or

generating said vehicle movement estimate from said in-out vehicle match table.

14. A method for generating and/or using estimates of arterial vehicular movement, comprising the steps of:

generating a vehicular movement estimate (80) based upon at least one vehicle (6) passing at least two magnetic sensor included in each of at least two sensor pods (20), with said vehicle movement estimate including a travel time (82) for a segment (12) between said sensor pods; and

/or

using at least one of said vehicle movement estimates to create at least one traffic feedback (92); and

/or

operating a programmable field device (70) based upon said traffic feedback;

wherein the step generating said vehicular movement estimate comprises at least one of the steps of;

acquiring (200) said vehicle signatures for said at least two successive sensor pods based upon said sensor readings; and

/or

generating (202) a scorecard (28, 29) of said vehicle signatures from said sensor pods; and

/or

matching (204) said vehicle signatures based upon said scorecard to create an in-out vehicle match table (32); and

/or

generating (206) said vehicle movement estimate from said in-out vehicle match table.

15. The method of claim 14, wherein the step of operating said programmable field device further comprises the step of presenting said traffic feedback to a driver of said vehicle to create said presented traffic feedback.

16. The method of claim 14, wherein said presented traffic feedback and said vehicle movement estimates are produced.

17. The method of claim 14, wherein said sensor pods (20) are configured near at least one lane in and at least one lane out of a multiple input-output roadway node (4).

18. The method of claim 14, wherein the step of generating (202) said scorecard further comprises at least one of the steps of

generating (220) a raw score (36) for said vehicle signature from a first sensor pod for matching said vehicle signature from said successor sensor pod;

and/or

generating (222) said raw score for an incoming vehicle signature for matching an outgoing vehicle signature; and

/or

calculating (224) a quality estimate (37) of said raw score based upon said raw scores of remaining match possibilities.

19. The method of claim 14, wherein the step of matching (204) further comprises at least one of the steps of

matching (250) said incoming (122) vehicle signatures (26) to the outgoing (124) vehicle signatures to create said in-out vehicle match table (32);

and/or

matching (252) said outgoing (124) vehicle signatures (26) to said incoming (122) vehicle signatures to create said in-out vehicle match table; and

/or

matching (254) all of said incoming (122) and said outgoing (124) vehicle signatures to create said in-out vehicle match table.