AUTOMOBILE TRAFFIC DETECTION SYSTEM

• US 20140278030A1
• Filed: 03/14/2013
• Published: 09/18/2014
• Est. Priority Date: 03/14/2013
• Status: Abandoned Application

• Current Assignee: Harman International Industries Incorporated (Samsung Electronics Co. Ltd.)
• Original Assignee: Harman International Industries Incorporated (Samsung Electronics Co. Ltd.)
• Inventors: Meena, Omprakash, Malhotra, Manu
• Application Number:
  US13/828,538
• Publication Number:
  US 20140278030A1
• Time in Patent Office: Days
• US Class Current: 701/118
• CPC Class Codes: G08G 1/0116 from roadside infrastructure, e.g. beacons
• CPC Class Codes: G08G 1/0133 for classifying traffic situation
• CPC Class Codes: G08G 1/015 with provision for distinguishing between two or more types of vehicles, e.g. between motor-cars and cycles

Abstract

An traffic detection system (TDS) can receive an information signal associated with a sensed vehicle. The vehicle may be sensed on a roadway by one or more sensors. The system can identify data within the received signal indicative of characteristics of the vehicle, and determine a classification of the vehicle based on at least the characteristics of the vehicle. Additionally or alternatively, the system may determine a traffic pattern associated with the roadway based on at least the determination of the classification of the vehicle.

Claims

1. A method, comprising:

receiving at a processor, a signal including information associated with a sensed vehicle on a roadway;

identifying via the processor, data within the received signal indicative of one or more characteristics of the sensed vehicle; and

determining via the processor, a type of the sensed vehicle based on at least the one or more characteristics of the sensed vehicle.

2. The method of claim 1, further comprising determining via the processor, a unique characteristic of the vehicle based on at least the one or more characteristics of the sensed vehicle.

3. The method of claim 2, where the unique characteristic of the vehicle may include one or more of rust areas or dents on the vehicle.

4. The method of claim 1, further comprising storing via the processor, the type of the sensed vehicle in database along with timing information including one or more of:

a duration of time the sensed vehicle was on the roadway or a section of the roadway; and

a date and time the sensed vehicle entered or exited the roadway or the section of the roadway.

5. The method of claim 1, further comprising determining from querying a database, an amount of vehicles of a type passing through the roadway in real time or for a given time period.

6. The method of claim 1, further comprising:

querying via the processor, a database for an amount of vehicles of a type passing through the roadway in real time or for a given time period;

determining via the processor, a traffic rating based on at least the query; and

transmitting from the processor, the traffic rating to an electronic device.

7. The method of claim 6, further comprising transmitting from the processor, a signal including instructions for operation of an electrical or mechanical device based on at least the traffic rating.

8. The method of claim 6, further comprising:

determining via the processor, an alert for law enforcement based on at least one of the traffic rating or the amount of vehicles of a type passing through the roadway in real time or for a given time period; and

transmitting the alert to a law enforcement device or system.

9. The method of claim 1, where the one or more characteristics of the sensed vehicle include a weight of the sensed vehicle.

10. The method of claim 1, where the one or more characteristics of the sensed vehicle include one or more respective widths of one or more wheels of the sensed vehicle.

11. The method of claim 1, where the one or more characteristics of the sensed vehicle include a distance between a front and a rear tire of the sensed vehicle.

12. The method of claim 1, where the one or more characteristics of the sensed vehicle include an inner distance between an inner point of contact of a left tire and an inner point of contact of a right tire, and where the one or more characteristics of the sensed vehicle include an outer distance between an outer point of contact of a left tire and an outer point of contact of a right tire.

13. The method of claim 12, further comprising determining via the processor, a tire width based on at least the inner distance and the outer distance.

14. The method of claim 12, further comprising determining via the processor, a tire width by subtracting the inner distance from the outer distance and dividing the difference by two.

15. The method of claim 1, where the one or more characteristics of the sensed vehicle include an amount of wheels the sensed vehicle includes.

16. The method of claim 1, where the one or more sensors span a width of a section of the roadway.

17. The method of claim 1, further comprising:

repeating for a plurality of roadways between at least two different locations, querying of a database for an amount of vehicles of a type passing through the roadway in real time or for a given time period;

determining via the processor, respective traffic ratings for the plurality of roadways based on the amount of vehicles of a type passing through the roadway in real time or for a given time period; and

determining via the processor, a route between the at least two different locations based on at least one or more of the respective traffic ratings.

18. A system, comprising:

a communications interface operable to receive one or more signals including information associated with one or more sensed vehicles on one or more roadways or sections of roadways; and

a processor operable to;

identify data within the one or more signals indicative of one or more characteristics of the one or more sensed vehicles;

determine one or more classifications of the one or more sensed vehicles based on at least the one or more characteristics of the one or more sensed vehicles;

determine based on at least the determination of the one or more classifications of the one or more sensed vehicles, an amount of vehicles with one or more classifications passing through the one or more roadways or sections of roadways in real time or for a given time period; and

determine a route between at least two different locations based on at least the determination of the amount of vehicles with the one or more classifications passing through the one or more roadways or sections of roadways in real time or for a given time period.

19. The system of claim 18, where the processor is operable to:

validate the route against one or more of global positioning system (GPS) information and traffic message channel (TMC) information.

20. A non-transitory tangible storage medium, comprising:

instructions executable to;

receive a signal including information associated with one or more sensed vehicles on a roadway;

instructions executable to;

identify data within the received signal indicative of one or more characteristics of the one or more sensed vehicles;

instructions executable to;

determine one or more classifications of the one or more sensed vehicles based on at least the one or more characteristics; and

instructions executable to;

determine a traffic pattern of the roadway based on at least the determination of the one or more sensed vehicles.