The invention relates to the technical field of urban road information, in particular to an urban GPS (global positioning system) road network matching method and device based on a hidden Markov model, and the method comprises the steps: integrating Gaussian distribution and historical steering probability of GPS error values of GPS bus lines in different road areas; the calculation of the observation probability and the state transition probability in the hidden Markov model is improved, so that the road matching accuracy of the low-sampling-rate floating car driving GPS data is further improved, and a more sufficient and accurate basis is provided for traffic planning and management of an urban government.

    本发明涉及城市道路信息技术领域,具体涉及一种基于隐马尔科夫模型的城市GPS路网匹配方法及装置,该方法及装置包括:通过融入不同道路区域的GPS公交车线路GPS误差值的高斯分布和历史转向概率,改进隐马尔科夫模型中的观测概率和状态转移概率的计算,从而进一步提高低采样率的浮动车行驶GPS数据的道路匹配准确度,为城市政府的交通规划与管理提供更充分准确的依据。


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    Title :

    Urban GPS road network matching method based on hidden Markov model


    Additional title:

    一种基于隐马尔科夫模型的城市GPS路网匹配方法


    Contributors:
    SONG YUCHEN (author) / ZHAO JUANJUAN (author) / GAO XITONG (author) / YE KEJIANG (author) / SUJO TADASHI (author)

    Publication date :

    2023-12-12


    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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