REAL-TIME TRAFFIC SITUATION AWARENESS SYSTEM AND METHOD THEREOF

• US 20120158275A1
• Filed: 06/23/2011
• Published: 06/21/2012
• Est. Priority Date: 12/20/2010
• Status: Abandoned Application

• Current Assignee: Industrial Technology Research Institute
• Original Assignee: Industrial Technology Research Institute
• Inventors: Huang, Cheng-Wei, Hsieh, Shyi-Shing
• Application Number:
  US13/167,340
• Publication Number:
  US 20120158275A1
• Time in Patent Office: Days
• US Class Current: 701/119
• CPC Class Codes: G08G 1/0112 from the vehicle, e.g. floating car data [FCD]
• CPC Class Codes: G08G 1/0133 for classifying traffic situation

Abstract

The disclosure provides a real-time traffic situation awareness system. In one embodiment, the real-time traffic situation awareness system receives driving data from a car, wherein the driving data comprises an image, GPS data, and gyroscope sensor data. The real-time traffic situation awareness system comprises an image processing unit, a feature extraction unit, a feature matrix database, a data grouping unit, and a situation awareness unit. The image processing unit processes the image to generate a processed image. The feature extraction unit generates a data point according to the processed image, the GPS data, and the gyroscope sensor data. The data grouping unit searches the feature matrix database for a plurality of feature groups of an optimal feature matrix corresponding to a geographic area according to the GPS data of the data point. The situation awareness unit analyzes the feature groups to generate traffic information.

Claims

1. A real-time traffic situation awareness system, receiving driving data from a car, wherein the driving data comprises an image, GPS data, and gyroscope sensor data, comprising:

an image processing unit, processing the image to generate a processed image;

a feature extraction unit, generating a data point according to the processed image, the GPS data, and the gyroscope sensor data;

a feature matrix database, storing a plurality of feature matrixes of a plurality of data groups corresponding to a plurality of geographic areas;

a data grouping unit, searching the feature matrix database for a plurality of feature groups of an optimal feature matrix corresponding to a geographic area near to that of the data point according to the GPS data of the data point; and

a situation awareness unit, analyzing the feature groups according to a plurality of situation awareness rules to generate traffic information.

2. The real-time traffic situation awareness system as claimed in claim 1, wherein the real-time traffic situation awareness system further comprises:

a feature selection unit, finding a plurality of past data points corresponding to geographical areas near to that of the data point according to the GPS data of the data point, combining the past data points with the data point to obtain a data group, and analyzing the data group to obtain a plurality of critical features; and

a feature classification unit, performing a linear discrimination analysis (LDA) on the critical features to generate a feature matrix to be stored to the feature matrix database.

3. The real-time traffic situation awareness system as claimed in claim 1, wherein the real-time traffic situation awareness system further comprises:

traffic information database, storing the traffic information generated by the situation awareness unit according to the geographic location of the traffic information.

4. The real-time traffic situation awareness system as claimed in claim 1, wherein the real-time traffic situation awareness system sends the traffic information back to the car to guide the car to a targeted location.

5. The real-time traffic situation awareness system as claimed in claim 1, wherein the image processing unit uses a pattern recognition process to find a plurality of road mark features comprised by the image, thereby generating the image information.

6. The real-time traffic situation awareness system as claimed in claim 5, wherein the road mark features comprise traffic lights, signboards, road marks, road signs, and buildings.

7. The real-time traffic situation awareness system as claimed in claim 2, wherein the feature selection unit performs a principle component analysis (PCA) on the data group to generate the critical features.

8. The real-time traffic situation awareness system as claimed in claim 2, wherein the feature selection unit generates a weight according to a timestamp of the data point, and updates the data group according to the weight and the data point, wherein the weight is small when the timestamp is early.

9. The real-time traffic situation awareness system as claimed in claim 1, wherein the traffic information comprises calibration information of the GPS data, a road situation of a route passed by a car, and a traveling time period required by the car to move to a targeted location.

10. A real-time traffic situation awareness method, wherein a real-time traffic situation awareness system comprises an image processing unit, a feature extraction unit, a feature matrix database, a data grouping unit, and a situation awareness unit, comprising:

receiving driving information from a car, wherein the driving information comprises an image, GPS data, and gyroscope sensor data;

processing the image with the image processing unit to generate a processed image;

generating a data point with the feature extraction unit according to the processed image, the GPS data, and the gyroscope sensor data;

storing a plurality of feature matrixes of a plurality of data groups corresponding to a plurality of geographic areas with the feature matrix database;

searching the feature matrix database for a plurality of feature groups of an optimal feature matrix corresponding to a geographic area near to that of the data point with the data grouping unit according to the GPS data of the data point; and

analyzing the feature groups with the situation awareness unit according to a plurality of situation awareness rules to generate traffic information.

11. The real-time traffic situation awareness method as claimed in claim 10, wherein the real-time traffic situation awareness system further comprises a feature selection unit and a feature classification unit, and the real-time traffic situation awareness method further comprises:

finding a plurality of past data points corresponding to the geographical areas near to that of the data point with the feature selection unit according to the GPS data of the data point;

combining the past data points with the data point to obtain a data group;

analyzing the data group with the feature selection unit to obtain a plurality of critical features; and

performing a linear discrimination analysis (LDA) on the critical features with the feature classification unit to generate a feature matrix to be stored to the feature matrix database.

12. The real-time traffic situation awareness method as claimed in claim 10, wherein the real-time traffic situation awareness method further comprises:

sending the traffic information back to the car to guide the car to a targeted location.

13. The real-time traffic situation awareness method as claimed in claim 10, wherein processing of the image comprises:

finding a plurality of road mark features comprised by the image via a pattern recognition process to generate the image information.

14. The real-time traffic situation awareness method as claimed in claim 13, wherein the road mark features comprise traffic lights, signboards, road marks, road signs, and buildings.

15. The real-time traffic situation awareness method as claimed in claim 11, wherein generating of the critical features comprise:

performing a principle component analysis (PCA) on the data group with the feature selection unit to generate the critical features.

16. The real-time traffic situation awareness method as claimed in claim 11, wherein the real-time traffic situation awareness method further comprises:

generating a weight according to a timestamp of the data point, wherein the weight is small when the timestamp is early; and

updating the data group according to the weight and the data point.

17. The real-time traffic situation awareness method as claimed in claim 10, wherein the traffic information comprises calibration information of the GPS data, a road situation of a route passed by the car, and a traveling time period required by the car to move to a targeted location.

18. A driving guide apparatus, installed on a car, comprising:

an image sensor, detecting an image;

a GPS module, generating GPS data;

a gravity sensor, detecting a 3-dimensional gravity operation of the car to generate gravity data comprising acceleration data and angle acceleration data of the car;

a wireless transceiver, coupled to a wireless network, connecting the guiding apparatus to a real-time traffic situation awareness system via the wireless network; and

a processor, gathering the image, the GPS data, and the gravity data to generate driving information, and directing the wireless transceiver to send the driving information to the real-time traffic situation awareness system.

19. The driving guide apparatus as claimed in claim 18, wherein the driving guide apparatus further comprises:

a roadmap database, storing a roadmap; and

a screen,

wherein the wireless transceiver receives traffic information from the real-time traffic situation awareness system, the processor generates guiding information according to the traffic information, and the screen shows the guiding information and the roadmap thereon.