The invention provides a traffic jam tracing method based on multi-source data. The method comprises a map matching algorithm (AVI-MM) based on the multi-source data and a multi-level traffic jam tracing algorithm. The AVI-MM algorithm fuses sparse AVI data and massive GPS data, firstly, a vehicle path candidate set is generated based on a random walk algorithm, then, a prior probability is determined based on a Logit path selection model with the maximum utility, a conditional probability is defined through space-time fusion analysis, and finally, sub-paths with the maximum matching probability are communicated in sequence to obtain a final full path; the multi-level traffic jam traceability algorithm is based on a map matching result, and multi-level vehicle track OD distribution of road sections, nodes and areas is calculated respectively. According to the method, high-precision matching of the quasi-full-sample vehicle track and the driving path is realized, and based on the path matching result of the quasi-full-sample AVI data, the origin-destination distribution and the path distribution of the traffic flow of the congested road section are quantitatively analyzed.

    本发明提出了基于多源数据的交通拥堵溯源方法,方法包括基于多源数据的地图匹配算法(AVI‑MM)和多层次交通拥堵溯源算法。AVI‑MM算法融合稀疏AVI数据和海量GPS数据,首先基于随机游走算法生成车辆路径候选集合,之后基于效用最大的Logit路径选择模型确定先验概率,并利用时空融合分析界定条件概率,最后依次连通匹配概率最大的子路径得到最终全路径;多层次交通拥堵溯源算法基于地图匹配结果,分别计算路段、节点、区域多层次车辆轨迹OD分布。本发明方法实现了准全样本车辆轨迹与行驶路径的高精度匹配,并基于准全样本AVI数据的路径匹配结果,量化分析了拥堵路段交通流量的起讫分布以及路径分布。


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    Title :

    Traffic jam tracing method based on multi-source data


    Additional title:

    基于多源数据的交通拥堵溯源方法


    Contributors:
    REN GANG (author) / HAI TIANRUI (author) / WANG YAKUN (author) / CAO QI (author) / LI DAWEI (author)

    Publication date :

    2021-11-30


    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



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