An Adaptive Traffic Incident Detection Method Based on Small Step Size Adjustment

Abstract

The invention discloses a self-adaptive traffic event detection method based on small step size adjustment, comprising the following steps: Step1: dynamically determine the detection frequency; Step2: calculate traffic parameters and traffic parameter statistics; Step3: calculate traffic parameter characteristics; Step4: Perform threshold comparison and output traffic event detection results. Step5: Calculate the historical false detection rate, and adjust the traffic parameter characteristic threshold in small steps according to the historical false detection rate. The present invention obtains ETC gantry data by dynamically determining the detection frequency, and then calculates the traffic parameter characteristics according to the obtained data, including the average speed change of the road section and the vehicle speed dispersion change, and compares the traffic parameter characteristics with their thresholds to determine According to the traffic event detection results, the historical false detection rate is finally calculated, and the update formula of the traffic parameter characteristic threshold is determined according to the historical false detection rate, so as to adjust the threshold in small steps, so as to realize the self-adaptive real-time and efficient detection of traffic events.

Description

technical field [0001] The invention relates to the technical field of road segment traffic event detection, in particular to an adaptive traffic event detection method based on small step size adjustment. Background technique [0002] Traffic incidents refer to traffic incidents that occur non-periodically and reduce the traffic capacity of a certain section of road, such as traffic accidents, breakdown parking, scattered goods, road maintenance, vehicles going against the road, and traffic jams. The number of motor vehicles in my country is large, the road network environment is complex, and the frequency of traffic accidents remains high, which not only seriously endangers the travel safety of travelers, but also causes great losses to the social economy. Therefore, in order to prevent and reduce the occurrence of traffic incidents, solve the traffic delays caused by traffic incidents, and avoid secondary damage caused by traffic incidents, it is necessary to detect traff...

AI Technical Summary

Problems solved by technology

[0005] Finally, the traditional traffic event detection algorithm based on the threshold method uses a fixed threshold, but as time changes, the traffic patterns of different time periods may be different, and the fixed threshold cannot accurately reflect the road section of each time period. Time conditions, so the threshold needs to be adaptively adjusted to improve the accuracy of traffic incident detection

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