A vehicle control method based on the characteristics of dangerous traffic flow in sunny conditions
A vehicle control and traffic flow technology, applied in collision avoidance systems and other directions, can solve the problems of different high-risk traffic flow state characteristics and other problems
Active Publication Date: 2016-03-02
SOUTHEAST UNIV
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Problems solved by technology
However, existing studies often ignore the influence of weather conditions on the risk of traffic accidents, that is, the characteristics of high-risk traffic flow states are different under different weather conditions (such as sunny and rainy days)
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[0053] Utilize the real traffic flow and accident data on the I-880 road in California, U.S.A. to test the performance of the present invention in the real-time prediction of traffic accidents under sunny conditions. Collected data includes upstream traffic occupancy average x 1 , Downstream vehicle speed standard deviation x 2 and the absolute value x of the speed difference between the upstream and downstream vehicles 3 .
[0054] There are 729 traffic data samples of the accident group and 7290 traffic data samples of the normal group (that is, traffic data collected without traffic accidents). Randomly select 510 accident group traffic data samples and 5100 normal group traffic data samples from the whole sample as the training set. The remaining 219 accident group traffic data samples and 2190 normal group traffic data samples are used as a detection set to test the prediction accuracy of the present invention.
[0055] Combined with the training set, the calibrated r...
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The invention discloses a vehicle regulation and control method based on dangerous traffic flow characteristics under a sunny condition. The method comprises a first step of obtaining traffic information in an accident road section; a second step of collecting accident group traffic data under a sunny condition; a third step of collecting normal group traffic data under the sunny condition; a fourth step of building a traffic flow data total sample; a fifth step of building an initial traffic accident probability relational expression; a sixth step of confirming a standardized traffic accident probability relational expression under the sunny condition; a seventh step of detecting probability of traffic accident occurrence of the road section under the sunny condition, and regulating and controlling vehicles; and an eighth step of repeating the seventh step, collecting a traffic flow parameter in a next set time T, and judging the probability of the traffic accident occurrence of the road section until detection is finished. The vehicle regulation and control method detects the probability of the traffic accident occurrence on freeways in real time, and regulation and control to vehicles are achieved, and number of traffic accidents is reduced.
Description
technical field [0001] The invention belongs to the field of intelligent management and control of vehicle traffic on urban express roads, and in particular relates to a vehicle control method based on the characteristics of dangerous traffic flow in sunny conditions. Background technique [0002] In order to identify traffic accident black spots and evaluate the impact of various traffic facilities on traffic safety, traditional traffic safety research uses traffic accident prediction models to predict the expected accident frequency (or accident rate) of a road or certain road sections in the future. ). Traditional traffic accident prediction models usually use the average value of traffic parameters (such as annual average daily traffic volume, etc.), traffic facility characteristics (such as the number of lanes, shoulder width, etc.) and environmental conditions ( Such as weather conditions, road surface conditions, etc.) and other data to establish the macroscopic rela...
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IPC IPC(8): G08G1/16
Inventor 徐铖铖刘攀王炜李志斌
Owner SOUTHEAST UNIV