Method and system for modeling and processing vehicular traffic data and information and applying thereof

• US 9,552,725 B2
• Filed: 12/01/2004
• Issued: 01/24/2017
• Est. Priority Date: 08/28/2000
• Status: Expired due to Term

• Current Assignee: Inrix Incorporated
• Original Assignee: Inrix Global Services Limited
• Inventors: Feldman, Israel, Trinker, Arie, Meltzer, Yochai, Eshpar, Allon, Lotem, Amnon
• Primary Examiner(s): MANCHO, RONNIE M
• Application Number:
  US10/999,994
• Publication Number:
  US 20050080552A1
• Time in Patent Office: 4,437 Days
• Field of Search: 701117-121, 701/213, 701/209, 701/210, 701/113, 701/400, 701408-410, 701/467, 701/468, 701/482, 701/483, 701/491, 701/500, 701/517, 701/519, 701/522, 701/528, 340/905, 340/933, 340/936, 340/995.13, 455/33.1, 455/428, 455/412.1, 455/412.2, 342/42, 342/44, 379/142.01, 379/142.09, 379/352, 379/142.1, 713/202, 380/23, 380/25
• 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 for modeling and processing vehicular traffic data, comprising the steps of:

generating a representation of a road network associated with the vehicular traffic data, the road network comprising a plurality of road sections; and

acquiring vehicular traffic data associated with said road network from a plurality of mobile sensors in communication with a wireless telecommunication network, wherein

acquiring vehicular traffic data comprises selecting a sample comprising vehicle-carried mobile sensors from the plurality of mobile sensors and tracking locations of said vehicle-carried mobile sensors of said sample over the road network,

the method further including a procedure for protecting privacy of individuals associated with said vehicle-carried mobile sensors, comprising tracking locations of said vehicle-carried mobile sensors of said sample without identifying tracked vehicles by using phone numbers, and keeping identities of the vehicle-carried mobile sensors within the location of the wireless telecommunications network so that privacy of the individuals associated with said vehicle-carried mobile sensors are protected.

2. The method of claim 1, further comprising the step of providing a vehicular traffic related service application to an end user.

3. The method of claim 1 wherein tracking locations of said mobile sensors comprises using location data and/or information provided by a server of a mobile wireless telecommunications network.

4. The method of claim 1, wherein said vehicle-carried mobile sensors are selected from the group consisting of:

computer devices;

cellular phone devices;

vehicle anti-theft devices; and

combinations thereof.

5. The method of claim 1, wherein locations of said vehicle-carried mobile sensors are obtained from said wireless telecommunication network in known time intervals, such that a path of each said vehicle is determined, said path being a sequence of connected road sections constituting a logical route to take between two points within said represented road network.

6. The method of claim 1, in which said vehicle-carried mobile sensors include one or more of:

computer devices;

cellular phone devices and combinations thereof; and

wherein

selecting a sample comprising vehicle-carried mobile sensors from the plurality of mobile sensors includes the step of identifying said mobile sensors having a movement indicating vehicular movement.

7. The method of claim 1, in which said vehicle-carried mobile sensors include one or more of:

computer devices;

cellular phone devices; and

combinations thereof; and

wherein

selecting a sample comprising vehicle-carried mobile sensors from the plurality of mobile sensors includes identifying said mobile sensors connected to said wireless telecommunications network whose cell transition or handover rates indicate a movement indicative of vehicular movement.

8. The method of claim 1, in which said vehicle-carried mobile sensors include anti-theft devices, and wherein

selecting a sample comprising vehicle-carried mobile sensors from the plurality of mobile sensors includes identifying ignition activation for said mobile sensors comprising mobile vehicle anti-theft devices.

9. The method of claim 1, wherein said tracking is performed by polling said locations of said mobile sensors in known time intervals.

10. The method of claim 1, further comprising filtering out said mobile sensors that are recognized as noise.

11. The method of claim 1, further comprising preventing said tracking of said mobile sensors that stop moving for a predetermined time interval.

12. The method of claim 1, further comprising maintaining said tracking within the locating capacity of said wireless telecommunications network.

13. The method of claim 1, comprising acquiring vehicular traffic data by a procedure selected from the group consisting of:

a push procedure;

a pull procedure; and

, combinations thereof;

wherein said push procedure is a mode of acquiring the vehicular traffic data initiated by said mobile sensors, and,

wherein said pull procedure is a mode of acquiring the vehicular traffic data initiated by a software module sampling said mobile sensors.

14. The method of claim 1, wherein said tracking is controlled according to a predefined policy selected from the group consisting of:

predefining an upper limit to the number of said vehicles tracked in a same region of said road network;

focus said tracking on a region where said vehicular traffic congestion is observed or anticipated in said road network; and

,

stop said tracking said vehicles that stopped for a pre-determined time interval.

15. The method of claim 1, wherein the procedure for protecting privacy of individuals associated with said vehicle-carried mobile sensors includes deleting identities of said identified mobile sensors and/or deleting said locations of said tracked mobile sensors following processing.

16. The method of claim 1, wherein said road network is represented as a geographical information system (GIS) road network.

17. The method of claim 1, wherein each said road section of said road section network represents a road section having vehicular traffic continuation option selected from the group consisting of:

continuing to travel straight;

taking a right turn; and

, taking a left turn.

18. The method of claim 17, wherein

said vehicular traffic continuation option is located at a head end road junction,

said road section represents a unit featuring a plurality of consecutive road segments of said road network,

said consecutive road segments positioned head-to-tail relative to each other are located between two road junctions, a tail end road junction and a said head end road junction, within said road network, and are characterized by similar vehicular traffic data and information, and,

said vehicular traffic continuation option refers to one of various vehicular traffic flow options said each vehicle may take within said road network.

19. The method of claim 18, wherein, when lanes in various road segments within said road section network are assigned to turning traffic, said road sections yield different vehicular traffic data and information.

20. The method of claim 2, wherein said vehicular traffic data is used to provide one or more vehicular traffic related service applications selected from:

responding to traffic oriented queries;

finding optimal routes between given points of said road network;

estimating travel times between given points of said road network;

initiating alerts and route alterations when unexpected traffic events change said current vehicular traffic situation; and

combinations thereof.

21. The method of claim 1, additionally processing data and/or information from a variety of sources selected from the group consisting of:

fixed sensors;

traffic reports by police;

radio broadcasts of the vehicular traffic data and information;

historical and event related vehicular traffic data and information;

other sources of the vehicular traffic data and information; and

combinations thereof.