The invention relates to a travel time reliability distribution prediction method in a complex scene. The method comprises the steps: constructing an event model based on complex scene data and traffic data, building travel time sample libraries in different scenes, extracting a travel time reliability distribution sample feature set, and constructing a training model to predict the future traveltime reliability. According to the invention, complex scene factors are considered; the method is advantaged in that travel time reliability analysis demands under different actual traffic scenes aresatisfied, prediction of the future travel time is realized based on the travel time reliability distribution characteristics, the more complete travel time reliability distribution result can be provided, travel time reliability prediction accuracy and adaptability are improved, and flexible selection of travelers is facilitated.

    本发明涉及一种复杂场景下的行程时间可靠性分布预测方法,本发明基于复杂场景数据与交通数据构造事件模型,建立不同场景下行程时间样本库,并提取行程时间可靠性分布样本特征集,构造训练模型预测未来行程时间可靠性。本发明考虑复杂场景因素,满足不同实际交通场景下行程时间可靠性分析需求,并基于行程时间可靠性分布特征实现对未来行程时间的预测,可提供更加完善的行程时间可靠性分布结果,提高行程时间可靠性预测的准确性与适配性,有利于出行者灵活选择。


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    Titel :

    Travel time reliability distribution prediction method in complex scene


    Weitere Titelangaben:

    一种复杂场景下的行程时间可靠性分布预测方法


    Beteiligte:
    DING CHUYIN (Autor:in) / XU JIA (Autor:in) / XIE JINGCHENG (Autor:in) / YUAN XINLIANG (Autor:in) / JIN JUNCHEN (Autor:in) / LI YAO (Autor:in) / ZOU KAIRONG (Autor:in)

    Erscheinungsdatum :

    2020-05-12


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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