Real-time monitoring method for road section state of high road
A fast road and status technology, applied in the traffic control system of road vehicles, traffic flow detection, instruments, etc., to achieve the effect of real-time identification of accident-prone road sections and simple and easy handling
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[0018] The present invention uses K-means clustering, Logistic regression and QUEST decision tree models for real-time monitoring of accident-prone road sections, a real-time monitoring method for fast road accident-risk sections, comprising the following steps:
[0019] 1) Set up a traffic flow detection point every 800 meters on the expressway, collect the accident data of the expressway to be inspected, and establish the location of each traffic accident, so as to determine the traffic flow detection point closest to the location of the traffic accident Point, extract the traffic data of the detection point within half an hour before the accident, including traffic flow rate and speed, and the sampling accuracy is once every 5 minutes;
[0020] 2) For each traffic accident, the case-control study method is used to select the traffic occupancy rate data under the normal traffic flow state of the accident road section, that is, when there is no accident, according to the ratio...
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