METHOD AND SERVER OF DETERMINING ADVISORY SAFETY SPEED BASED ON ROAD SURFACE STATES AND STATISTICAL TRAFFIC CONDITIONS

• US 20110282627A1
• Filed: 05/13/2011
• Published: 11/17/2011
• Est. Priority Date: 05/13/2010
• Status: Abandoned Application

• Current Assignee: Electronics and Telecommunications Research Institute
• Original Assignee: Electronics and Telecommunications Research Institute
• Inventors: KIM, Hyun Suk, JEON, Hae Sook, JANG, Jeong Ah
• Application Number:
  US13/107,336
• Publication Number:
  US 20110282627A1
• Time in Patent Office: Days
• US Class Current: 702/179
• CPC Class Codes: G08G 1/0112 from the vehicle, e.g. floating car data [FCD]
• 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 1/0145 for active traffic flow control
• CPC Class Codes: G08G 1/164 Centralised systems, e.g. external to vehicles

Abstract

Provided are a method and an apparatus of determining safety speed based on road surface states and statistical traffic conditions. The exemplary embodiment of the present invention provides a driver with the advisory safety speed according to the speed information, the positional information, and the road surface states, or the like, collected from the GNSS receiver and the probe vehicle capable of performing the wireless communications, thereby making it possible to contribute to the traffic safety. In addition, the exemplary embodiment of the present invention can allow a driver to lower the travel speed of a vehicle by actively coping with a traffic jam, an occurrence of an accident, rapid weather changes, or the like, thereby making it possible to contribute to the occurrence prevention of a secondary accident, the alleviation of a traffic jam, or the like.

Claims

1. A server of determining safety speed based on road surface states and statistical traffic conditions, comprising:

a receiver receiving real-time vehicle travel information and road surface states;

a traffic information processor calculating traffic condition statistical values for each section and for each time based on the vehicle travel information;

a road frictional coefficient estimator estimating road frictional coefficients based on the road surface states and the calculated traffic condition statistical values; and

an advisory safety speed determining unit determining safety speed for each section and for each time by using the calculated traffic condition statistical values, the estimated road frictional coefficients, a driver'"'"'s perception response time, and a time to collision (TTC).

2. The server of claim 1, wherein the traffic information processor includes:

a division module dividing a collection section by mapping a vehicle position with section information for each time from the vehicle travel information; and

a calculation module calculating traffic condition statistical values for each collection section based on the vehicle travel information.

3. The server of claim 1, wherein the vehicle travel information is at least one of a vehicle id, a collection time, a speed, a position, and acceleration and deceleration.

4. The server of claim 1, wherein the calculated traffic condition statistical value is at least any one of an average speed, a median of speed, 85% of speed, and a standard deviation of speed.

5. The server of claim 1, wherein the road surface state is at least any one of dry, wet, hydroplaning, snow, freezing, mist, road frictional force, obstacles, and front road surface state.

6. The server of claim 1, wherein the estimated road frictional coefficient is small with the increase in the vehicle speed.

7. The server of claim 1, wherein the advisory safety speed determining unit determines an advisory safety speed by further using at least any one of a headway distance, a statistical headway distance, a minimum safety distance, inclination, and gravity acceleration.

8. The server of claim 7, wherein the statistical headway distance is obtained by multiplying the TTC by the traffic condition statistical values and adding the headway distance thereto.

9. The server of claim 7, wherein the advisory safety speed is determined so that the minimum safety distance becomes the statistical headway distance.

10. The server of claim 1, further comprising a transmitter transmitting the advisory safety speed.

11. A method of determining safety speed based on road surface states and statistical traffic conditions performed by a server of determining safety speed, the method comprising:

receiving real-time vehicle travel information and road surface states;

calculating traffic condition statistical values for each section and for each time based on the vehicle travel information;

estimating road frictional coefficients based on the road surface states and the calculated traffic condition statistical values; and

determining safety speed for each section and for each time by using the calculated traffic condition statistical values, the estimated road frictional coefficients, a driver'"'"'s perception response time, and a time to collision (TTC).

12. The method of claim 11, wherein the calculating includes:

dividing a collection section by mapping a vehicle position with section information for each time from the vehicle travel information; and

calculating traffic condition statistical values for each collection section based on the vehicle travel information.

13. The method of claim 11, wherein the vehicle travel information is at least one of a vehicle id, a collection time, a speed, a position, and acceleration and deceleration.

14. The method of claim 11, wherein the calculated traffic condition statistical value is at least any one of an average speed, a median of speed, 85% of speed, and a standard deviation of speed.

15. The method of claim 11, wherein the road surface state is at least any one of dry, wet, hydroplaning, snow, freezing, mist, road frictional force, obstacles, and front road surface state.

16. The method of claim 11, wherein the estimated road frictional coefficient is small with the increase in the vehicle speed.

17. The method of claim 11, wherein the determining determines an advisory safety speed by further using at least any one of a headway distance, a statistical headway distance, a minimum safety distance, inclination, and gravity acceleration.

18. The method of claim 17, wherein the statistical headway distance is obtained by multiplying the TTC by the traffic condition statistical values and adding the headway distance thereto.

19. The method of claim 17, wherein the advisory safety speed is determined so that the minimum safety distance becomes the statistical headway distance.

20. The method of claim 11, further comprising transmitting the advisory safety speed.