METHOD AND SYSTEM FOR MODELING AND PROCESSING VEHICULAR TRAFFIC DATA AND INFORMATION AND APPLYING THEREOF

• US 20170011626A1
• Filed: 09/21/2016
• Published: 01/12/2017
• Est. Priority Date: 08/28/2000
• Status: Active Grant

• Current Assignee: Inrix Incorporated
• Original Assignee: Inrix Incorporated
• Inventors: Feldman, Israel, Trinker, Arie, Meltzer, Yochai, Eshpar, Allon, Lotem, Amnon
• Granted Patent: US 10,121,366 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G08G 1/0104 Measuring and analyzing of parameters relative to traffic conditions
• CPC Class Codes: G08G 1/0125 Traffic data processing
• CPC Class Codes: H04W 12/02 Protecting privacy or anonymity, e.g. protecting personally identifiable information [PII]

Abstract

A method and system for modeling and processing vehicular traffic data and information, comprising: (a) transforming a spatial representation of a road network into a network of spatially interdependent and interrelated oriented road sections, for forming an oriented road section network; (b) acquiring a variety of the vehicular traffic data and information associated with the oriented road section network, from a variety of sources; (c) prioritizing, filtering, and controlling, the vehicular traffic data and information acquired from each of the variety of sources; (d) calculating a mean normalized travel time (NTT) value for each oriented road section of said oriented road section network using the prioritized, filtered, and controlled, vehicular traffic data and information associated with each source, for forming a partial current vehicular traffic situation picture associated with each source; (e) fusing the partial current traffic situation picture associated with each source, for generating a single complete current vehicular traffic situation picture associated with entire oriented road section network; (f) predicting a future complete vehicular traffic situation picture associated with the entire oriented road section network; and (g) using the current vehicular traffic situation picture and the future vehicular traffic situation picture for providing a variety of vehicular traffic related service applications to end users.

Claims

1. A method, comprising:

tracking locations of vehicle-carried mobile sensors in communication with a wireless telecommunications network without identifying tracked vehicles by using phone numbers, and keeping identities of the vehicle-carried mobile sensors within a location of the wireless telecommunications network so that privacy of individuals associated with the vehicle-carried mobile sensors is protected.

2. The method of claim 1, comprising:

prior to the tracking, generating a representation of a road network associated with vehicular traffic data.

3. The method of claim 2, the road network comprising a plurality of road sections.

4. The method of claim 2, comprising:

prior to the tracking, acquiring the vehicular traffic data associated with the road network from a plurality of mobile sensors comprising the vehicle-carried mobile sensors.

5. The method of claim 4, comprising:

prior to the tracking, selecting a sample comprising the vehicle-carried mobile sensors from the plurality of mobile sensors.

6. The method of claim 1, comprising:

providing a vehicular traffic related service application to an end user.

7. The method of claim 1, the tracking performed using location data provided by a server of the wireless telecommunications network.

8. The method of claim 1, the wireless telecommunications network comprising a cellular phone network.

9. The method of claim 1, comprising:

prior to the tracking, selecting a sample comprising the vehicle-carried mobile sensors from a plurality of mobile sensors based upon a determination that the vehicle-carried mobile sensors are associated with vehicular movement.

10. The method of claim 1, the tracking comprising:

obtaining a first location of a first vehicle-carried mobile sensor, and after a first time interval, obtaining a second location of the first vehicle-carried mobile sensor.

11. The method of claim 10, the tracking comprising:

determining a first path of a first vehicle associated with the first vehicle-carried mobile sensor based upon the first location and the second location.

12. A computer configured to perform acts comprising:

tracking one or more locations of a first vehicle-carried mobile sensor associated with a first tracked vehicle and in communication with a wireless telecommunications network without identifying the first tracked vehicle by using a phone number, and keeping an identity of the first vehicle-carried mobile sensor within a location of the wireless telecommunications network.

13. The computer of claim 12, wherein the first vehicle-carried mobile sensor comprises a laptop computer.

14. The computer of claim 12, wherein the first vehicle-carried mobile sensor comprises an anti-theft device.

15. The computer of claim 12, wherein the first vehicle-carried mobile sensor comprises a cellular phone device.

16. A method, comprising:

tracking one or more locations of a first vehicle-carried mobile sensor associated with a first tracked vehicle and in communication with a wireless telecommunications network without identifying the first tracked vehicle by using a phone number.

17. The method of claim 16, comprising:

prior to the tracking, selecting a sample comprising the first vehicle-carried mobile sensor from a plurality of mobile sensors by filtering out one or more other mobile sensors recognized as noise.

18. The method of claim 16, comprising:

prior to the tracking, selecting a sample comprising the first vehicle-carried mobile sensor from a plurality of mobile sensors by filtering out one or more other mobile sensors associated with a lack of movement for at least a predetermined time interval.

19. The method of claim 16, comprising:

prior to the tracking, generating a representation of a road network associated with vehicular traffic data, the road network comprising a plurality of road sections.

20. The method of claim 19, wherein the road network is a geographical information system (GIS) type of road network.