The invention discloses a road section congestion point judgment method in a vehicle-road coordination environment. Firstly, established data of a target road section are acquired; then, based on a real-time data acquisition result, a road section congestion judgment model is constructed, and the road section congestion condition is analyzed; and finally, on a congested road section, splitting the road section by using a dichotomy method, analyzing the function value of each road section, iterating the maximum value, obtaining a road section congestion point after the section length of the iterated road section is smaller than or equal to a set value, and taking the maximum value of the function value as the congestion point. The traffic volume parameters are modeled, the congestion points are iteratively calculated by using the dichotomy, the efficiency is high, the calculation accuracy of the congestion points is high, the difficulty of congestion evacuation is reduced, real-time data acquisition and processing are realized in a vehicle-road coordination environment, and the problems of high cost, great weather influence and difficulty in large-area coverage in the prior art are solved.
本发明公开了一种车路协同环境下的路段拥堵点判断方法,首先获取目标路段既定数据;然后基于实时数据采集的结果,构建路段拥堵判断模型,分析路段拥堵情况;最后在拥堵的路段上,利用二分法拆分路段,分析各路段函数值,对最大值进行迭代,迭代后路段区间长度小于等于设定值后获得路段拥堵点,函数值的最大值为拥堵点。本发明对交通量参数进行建模,使用二分法迭代计算拥堵点,效率高,拥堵点的计算准确率高,降低了拥堵疏散的难度,在车路协同环境下实现数据实时采集和处理,解决了现有问题中的成本高,受天气影响大,很难大面积覆盖的问题。
Road section congestion point judgment method in vehicle-road coordination environment
一种车路协同环境下的路段拥堵点判断方法
15.08.2023
Patent
Elektronische Ressource
Chinesisch
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