Monitoring intersection delays in a transportation network

• US 9,886,850 B2
• Filed: 06/01/2017
• Issued: 02/06/2018
• Est. Priority Date: 03/15/2013
• Status: Active Grant

• Current Assignee: FLIR Commercial Systems Incorporated (Teledyne Technologies Incorporated)
• Original Assignee: Acyclica, Inc. (Teledyne Technologies Incorporated)
• Inventors: Benhammou, Daniel
• Primary Examiner(s): Tran, Dalena
• Application Number:
  US15/611,457
• Publication Number:
  US 20170270784A1
• Time in Patent Office: 250 Days
• Field of Search: 701 1, 701117-119, 340901, 340902, 340910, 340917, 340988, 340991, 34099513, 4554561
• CPC Class Codes: G08G 1/0112 from the vehicle, e.g. floating car data [FCD]
• CPC Class Codes: G08G 1/0116 from roadside infrastructure, e.g. beacons
• CPC Class Codes: G08G 1/012 from other sources than vehicle or roadside beacons, e.g. mobile networks
• CPC Class Codes: G08G 1/0133 for classifying traffic situation
• CPC Class Codes: G08G 1/0141 for traffic information dissemination
• CPC Class Codes: H04B 17/318 Received signal strength
• CPC Class Codes: H04L 41/046 comprising network management agents or mobile agents therefor
• CPC Class Codes: H04L 43/062 related to network traffic
• CPC Class Codes: H04L 43/0852 Delays
• CPC Class Codes: H04L 43/0876 Network utilisation, e.g. volume of load or congestion level
• CPC Class Codes: H04L 43/10 Active monitoring, e.g. heartbeat, ping or trace-route
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04W 84/12 WLAN [Wireless Local Area Networks]

Abstract

A traffic monitoring system (400) includes a network of geographically distributed sensors (401-403). The sensors (401-403) provide raw or preprocessed data to a processing system (405) based on received long range wireless signals (e.g., 2.4 GHz, 5.8 GHz, or 5.9 GHz spectrum). The processing system (405) can then implement any of various algorithms to calculate traffic parameters taking into account the range of communication between the source and the sensor. The inputs to these algorithms include a first contacts, last contacts, maximum range, minimum range, median of contacts, average of contacts, maximum strength, and combinations thereof.

Claims

1. A method for use in monitoring traffic on a traffic network, said traffic network including a plurality of geographically distributed sensors, the method comprising:

monitoring wireless communications associated with sources on said traffic network, said wireless communications comprising a stream of data packets wherein each packet of the stream of data packets includes identification information for identifying a source of each respective packet;

operating a first sensor and second sensor of said geographically distributed sensors to provide, to a processor system, first and second sensor information, respectively, associated with a first source based on said monitored wireless communications, each of said first and second sensor information including a series of data packets including one or more non-maximum packets having a signal strength less than that of at least one other packet of said series of packets;

receiving said first sensor information and said second sensor information at said processor system; and

processing at said processor system said first sensor information and said second sensor information so as to identify at least a first series of data packets from said first sensor and a second series of data packets from said second sensor, said first series of data packets from said first sensor and said second series of data packets from said second sensor associated with the first source, to obtain a first value for said first sensor and second value for said second sensor, at least one of said first and second values being obtained using at least one non-maximum packet, and to generate first traffic information based at least in part on comparison of said first and second values.

2. The method of claim 1, wherein said wireless communications comprise long range wireless signals.

3. The method of claim 2, wherein long range wireless signals comprise data transmissions on the 2.4 GHz, 5.8 GHz, or 5.9 GHz spectrum.

4. The method of claim 1, wherein said identifying comprises filtering said wireless communications to include only probe requests.

5. The method of claim 4, wherein said first sensor information and said second sensor information include a time of identification of each packet of said identified first and second series of packets associated with said first source.

6. The method of claim 5, wherein said first sensor information and said second sensor information include a MAC address associated with each packet of said identified first and second series of packets associated with said first source.

7. The method of claim 6, wherein said first and said second sensor information includes a RSSI value of each packet of said identified first and second series of packets associated with said first source.

8. The method of claim 7, wherein said first traffic information includes a position of said first source.

9. The method of claim 7, wherein said first traffic information includes a travel time of said first source between said first sensor and said second sensor.

10. The method of claim 9, further comprising aggregating said travel time of said first source with a travel time of a second source to generate a characteristic.

11. The method of claim 10, wherein the characteristic is an average travel time of the first and second sources.

12. The method of claim 10, wherein the characteristic is an average speed of the first and second sources.

13. The method of claim 10, wherein the characteristic is used to graphically plot a speed as a function of highway position.

14. The method of claim 9, wherein said travel time is based on a first of said time of identification of said MAC address by said first sensor and a first of said time of identification of said MAC address by said second sensor.

15. The method of claim 9, wherein said travel time is based on a last of said time of identification of said MAC address by said first sensor and a last of said time of identification of said MAC address by said second sensor.

16. The method of claim 9, wherein said travel time is based on a first of said time of identification of said MAC address by said first sensor and a last of said time of identification of said MAC address by said second sensor.

17. The method of claim 9, wherein said travel time is based on a last of said time of identification of said MAC address by said first sensor and a first of said time of identification of said MAC address by said second sensor.

18. The method of claim 9, wherein said travel time is based on said time of identification of said MAC address by said first sensor associated with a maximum value of said RSSI and said time of identification of said MAC address by said second sensor associated with a maximum value of said RSSI.

19. The method of claim 9, wherein said travel time is based on a rate of change of said RSSI value at said first sensor or said second sensor.

20. The method of claim 1, wherein said identifying comprises filtering said wireless communications based on changes in signal strength.

21. The method of claim 1, wherein said identifying comprises filtering said wireless communications based on a list of MAC addresses received from an upstream sensor.

22. The method of claim 1, further comprising:

transmitting said first traffic information over a dedicated short range communications network associated with said geographically distributed sensors.

23. The method of claim 1, further comprising:

generating a report comprising of said first traffic information.

24. The method of claim 23, further comprising:

querying said report for said first traffic information associated with a transit event or an area of interest.

25. The method of claim 1, further comprising:

adjusting traffic control devices associated with said roadway network on the basis of said first traffic information.

26. An apparatus for use in a system of monitoring vehicle traffic on a roadway network comprising:

a plurality of geographically distributed sensors within one or more roadway networks, wherein each sensor of the plurality of geographically distributed sensors is configured to detect the presence of wireless signals within the roadway network, each sensor comprising;

a local processing engine, executable by a processor of each sensor, that is configured to monitor wireless communications associated with vehicles on said roadway network; and

a client, executable by said processor of each sensor; and

a central processing server communicatively interconnected to said plurality of geographically distributed sensors, the central processing server comprising;

a sensor information engine, executable by a processor of said central processing server, that is configured to identify at least first and second sensor information from first and second sensors of said plurality of geographically distributed sensors, each of said first and second sensor information being associated with a first source and including a series of data packets including one or more non-maximum packets having a signal strength less than that of at least one other packet of said series of packets;

a traffic analysis engine, executable by said processor of said central processing server, that is configured to calculate a travel time of said first source between said first sensor and said second sensor by obtaining a first value for said first sensor and a second value for said second sensor, at least one of said first and second values being obtained using at least one non-maximum packet; and

a first database, accessible by said processor of said central processing server, that is configured to store said first and second sensor information associated with said first source;

wherein said client is operable to transmit said monitored wireless communications to said central processing server.

27. The apparatus of claim 26, wherein said local processing engine is configured to identify at least a first data packet associated with said first source.

28. The apparatus of claim 27, wherein said local processing engine is configured to calculate a speed of said first source.

29. The apparatus of claim 26, wherein each sensor is associated with a unique geographical identifier.

30. The apparatus of claim 26, wherein said plurality of sensors is distributed throughout a roadway intersection.

31. The apparatus of claim 30, wherein said traffic analysis engine is configured to calculate a travel time delay through and across said roadway intersection.

32. The apparatus of claim 26, wherein said local processing engine is configured to count identified wireless communications associated with distinct sources.

33. The apparatus of claim 26, wherein said at least first and second sensor information is configured to identify wireless communications associated only with probe requests associated with long range wireless signals.

34. The apparatus of claim 26, wherein said first database is configured to store information specifying a time of identification of each packet of said series of data packets associated with said first source.

35. The apparatus of claim 26, wherein said first database is configured to store information specifying a MAC address of each packet of said series of data packets associated with said first source.

36. The apparatus of claim 26, wherein said first database is configured to store information specifying a RSSI value of each packet of said series of data packets associated with said first source.