SYSTEM AND METHOD FOR AVOIDING ABNORMAL VEHICLE

• US 20170162049A1
• Filed: 12/03/2015
• Published: 06/08/2017
• Est. Priority Date: 12/03/2015
• Status: Active Grant

• Current Assignee: Institute For Information Industry
• Original Assignee: Institute For Information Industry
• Inventors: Lee, Kun-Hung
• Granted Patent: US 10,019,903 B2
• Time in Patent Office: Days
• CPC Class Codes: G08G 1/0112 from the vehicle, e.g. floating car data [FCD]
• CPC Class Codes: G08G 1/0129 for creating historical data or processing based on historical data
• CPC Class Codes: G08G 1/162 event-triggered
• CPC Class Codes: G08G 1/166 for active traffic, e.g. moving vehicles, pedestrians, bikes

Abstract

The disclosure is related to a system and a method for avoiding abnormal vehicle. In the method, the avoidance system predicts multiple routes for the abnormal vehicle within a period of time according to historical data when an alert from the abnormal vehicle is generated. A route-potential figure can be created when the system gets the historical data. The system computes one or more available routes for the nearby vehicle based on its vehicle information when a collision is possible. Every available route has its collision risk value. The system finally provides a recommended route with lower collision risk value when it considers a time of the abnormal vehicle reaches its great change, a time of predicting the nearby vehicle meets the range of route-potential figure, and a safety distance there-between.

Claims

1. A method for avoiding abnormal vehicle, comprising:

an avoidance system disposed in an abnormal vehicle receiving an abnormal signal generated by the abnormal vehicle;

the avoidance system predicting a predicted traveling route of the abnormal vehicle within a period of time according historical data corresponding to the abnormal signal and vehicle information of the abnormal vehicle;

the avoidance system receiving vehicle information of a nearby first vehicle, and determining at least one available route for the first vehicle within the period of time according to the vehicle information;

the avoidance system computing a collision risk value of every available route for the first vehicle; and

the avoidance system deciding a best recommended route for the first vehicle in order to avoid the abnormal vehicle according to the collision risk value of every available route, and informing the first vehicle the best recommended route.

2. The method as recited in claim 1, wherein the vehicle information includes at least one of operating statuses of a gas pedal, a brake, and a steering wheel.

3. The method as recited in claim 1, wherein the avoidance system configures the available with the lowest collision risk value as the best recommended route.

4. The method as recited in claim 1, wherein the avoidance system also informs the abnormal vehicle the best recommended route.

5. The method as recited in claim 1, wherein the historical data is stored in a database, the method to establish the database includes:

when the avoidance system receives the abnormal signal generated by the abnormal vehicle, the avoidance system also receives driving event information corresponding to the abnormal signal, and categorizes the driving event information based on similarity;

wherein the driving event information includes at least one of an abnormal code, a collision, an event time, a vehicle location, a vehicle speed, a vehicle acceleration, a vehicle direction, and climate corresponding to the abnormal signal.

6. The method as recited in claim 5, wherein the avoidance system computes the collision risk value corresponding to every available route based on whether or not every available route for the first vehicle enters a route potential pattern of the abnormal vehicle;

wherein the method for establishing the route potential pattern comprises;

inquiring the database after the avoidance system receives the abnormal signal, so as to obtain the historical data corresponding to the abnormal signal;

the avoidance system determining at least one predicted traveling route for the abnormal vehicle according to the historical data; and

the avoidance system drawing the at least one predicted traveling route for the abnormal vehicle on a grid map; and

accumulating number of times of the at least one predicted traveling route passing through each lattice of the grid map, and the route potential pattern is produced based on a proportion calculation.

7. The method as recited in claim 6, further comprising:

providing the best recommended route for the first vehicle if the avoidance system determines that a distance between the first vehicle and the abnormal vehicle is smaller than a safety distance; and

providing an instant best recommended route in every time interval, and informing the instant best recommended route to the first vehicle if the avoidance system determines the distance between the first vehicle and the abnormal vehicle is larger than the safety distance.

8. The method as recited in claim 7, wherein the instant best recommended route provided by the avoidance system is based on one of the conditions comprising:

the avoidance system computing the collision risk value corresponding to every available route for the first vehicle in every time interval until the avoidance system determines one available route'"'"'s collision risk value is lower than a risk threshold, and the corresponding available route is set as the best recommended route; and

the avoidance system computing the collision risk value corresponding to every available route for the first vehicle in every time interval, the available route with the lowest collision risk value is set as the best recommended route.

9. The method as recited in claim 6, further comprising:

providing the best recommended route to the first vehicle if the avoidance system determines a distance between the first vehicle and the abnormal vehicle is smaller than a safety distance; and

periodically computing the collision risk value for every available for the first vehicle in every time interval until the abnormal vehicle is in great change if the avoidance system determines the distance between the first vehicle and the abnormal vehicle is larger than a safety distance;

the available route with the lowest collision risk value is set as the best recommended route.

10. The method as recited in claim 6, further comprising:

the avoidance system acquiring vehicle information based on similarity in response to the abnormal signal generated by the abnormal vehicle, acquiring a great change time from normal to abnormal of the abnormal vehicle, and computing a great change distance from normal to abnormal of the abnormal vehicle according to the great change time;

the avoidance system acquiring a traveling route of the first vehicle according to vehicle information of the first vehicle, and computing a potential distance when the first vehicle is estimated to enter the route potential pattern of the abnormal vehicle;

the avoidance system comparing the great change distance or the potential distance, whichever is smaller, with a safety distance;

the avoidance system providing the best recommended route for the first vehicle if the avoidance system determines the great change distance or the potential distance, whichever is smaller, is smaller than the safety distance; and

the avoidance system periodically informing an instant best recommended route to the first vehicle in every time interval if the avoidance system determines the great change distance or the potential distance, whichever is smaller, is larger than the safety distance.

11. The method as recited in claim 10, wherein the instant best recommended route in every time interval provided by the avoidance system is based on one of the conditions comprising:

the avoidance system computing collision risk values for multiple available routes in every time interval for the first vehicle to avoid the abnormal vehicle until the collision risk value for at least one available route is lower than a risk threshold; and

the avoidance system setting the available route with the collision risk value lower than the risk threshold as the best recommended route; and

the avoidance system computing collision risk values for the multiple available routes in every time interval for the first vehicle to avoid the abnormal vehicle, and the avoidance system setting the instant available route with the lowest collision risk value as the best recommended route.

12. The method as recited in claim 5, wherein the avoidance system does not record the vehicle information corresponding to the abnormal signal when the abnormal vehicle slows down as receiving the abnormal system generated by the abnormal vehicle.

13. The method as recited in claim 5, wherein, after receiving the abnormal signal generated by the abnormal vehicle, the avoidance system further receives vehicle information from a second vehicle so as to acquire the second vehicle'"'"'s traveling route within the period of time;

and the avoidance system re-computes the collision risk value according to traveling routes of the first vehicle, the second vehicle and the abnormal vehicle for re-arranging the available route to avoid the abnormal vehicle.

14. A system for avoidance abnormal vehicle, installed in an abnormal vehicle generating abnormal signal, comprising:

a signal receiving unit, used to receive signals from a nearby vehicle, and signals from the abnormal vehicle;

a vehicle information acquiring unit, retrieving vehicle information from the signals obtained from the signal receiving unit;

an abnormal signal acquiring unit, receiving the abnormal signal and obtaining historical data as comparing with a database, for analyzing a future traveling route of the abnormal vehicle;

a potential figure creating unit, forming a route potential pattern having multiple potential routes according to the historical data corresponding to the abnormal vehicle from the abnormal signal acquiring unit;

a route risk estimating unit, acquiring one or more recommended routes according to vehicle information of the nearby vehicle, and computing collision risk value for every recommended route;

a route determination unit, acquiring distance relationship between the vehicles, and providing the recommended route with the lowest collision risk value based on whether or not a distance between the nearby vehicle and the abnormal vehicle is smaller than a safety distance; and

an output unit, used to output the recommended route with the lowest collision risk value generated from the route determination unit to the nearby vehicle.

15. The system as recited in claim 14, wherein the system is installed in the abnormal vehicle, and a wireless communication network is provided among the vehicles for transmitting signals.

16. The system as recited in claim 14, wherein the route determination unit estimates distance relationship between the vehicles according to a time that the abnormal vehicle becomes from normal to abnormal status, a time that the nearby vehicle enters the route potential pattern of the abnormal vehicle, and a safe time between every two vehicles.

17. The system as recited in claim 16, wherein the route determination unit introduces a risk threshold to determine if the recommended route with the lower collision risk value is obtained.

18. The system as recited in claim 14, wherein the information acquired by the vehicle information acquiring unit includes operating data of gas pedal, brake and/or steering wheel.

19. The system as recited in claim 14, wherein the abnormal signal acquired by the abnormal signal acquiring unit includes trouble code and its corresponding vehicle information.