The invention provides a road congestion reason identification method, which mainly solves the problem that the existing method ignores the causal relationship of traffic elements and is not suitable for a large-range road network. According to the implementation scheme, on the basis of a gradient enhanced decision tree GBDT method, corresponding explanatory variables are obtained according to multiple traffic factors including the number of lanes, traffic flow and a signal control strategy which are easy to obtain, the variables are used for modeling the performance of a road network, training testing and parameter optimization are carried out on a model, and the average vehicle speed in the road network is predicted by using the optimized model, and the factors influencing the performance of the road network are sorted based on the model, thereby identifying the root cause of the traffic congestion. According to the method, contribution of various factors in a road network to road congestion is observed by using a gradient enhancement decision tree method, the factors causing the congestion are found, the reasons causing the traffic congestion are effectively identified, and the result is accurate and reliable.

    本发明提出了一种道路拥堵原因识别方法,主要解决现有方法忽略交通要素因果关系,不适用于大范围路网的问题。其实现方案为:基于梯度增强决策树GBDT法,根据容易获取的车道数量、交通流量和信号控制策略多个交通因素得到其相对应的解释变量,利用变量对路网的性能进行建模,并对模型进行训练测试及参数优化,使用优化后的模型预测路网中的平均车速,并基于该模型对影响路网性能的各个因素进行排序,从而识别出导致交通拥塞的根本原因。本发明利用梯度增强决策树的方法来观测路网中各种因素对道路拥堵的贡献,找到引发拥堵的因素,有效识别出造成交通拥堵的原因,且结果准确可靠。


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    Title :

    Road congestion reason identification method


    Additional title:

    一种道路拥堵原因识别方法


    Contributors:
    LI CHANGLE (author) / YUE WENWEI (author) / XUE NAN (author) / CHEN YUE (author) / JI XINGYI (author) / SHA ZIFAN (author)

    Publication date :

    2021-06-11


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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