The invention relates to a method and system for predicting urban traffic travel time. The prediction method comprises the steps: dividing a to-be-predicted city into rectangular grids; constructing anormalized floating point traffic flow matrix according to the historical traffic flow data based on the rectangular grids; training an urban traffic flow prediction network according to the normalized floating point traffic flow matrix; simplifying the track point sequence of the vehicle driving path according to the rectangular grids to obtain a gridding track of the vehicle driving path; according to the normalized floating point traffic flow matrix and the gridding track, determining a feature vector of each track point in the gridding track; training an urban traffic travel time prediction network according to the feature vector of each track point; based on the urban traffic flow prediction network and the urban travel time prediction network, determining the travel time required for the to-be-tested vehicle to travel on the to-be-tested path according to the to-be-tested travel path of the to-be-tested vehicle, so that the prediction precision in a complex scene can be improved.

    本发明涉及一种城市市内交通旅行时间的预测方法及系统,所述预测方法包括将待测城市划分为矩形网格;基于矩形网格,根据历史交通流量数据构建归一化浮点交通流量矩阵;根据归一化浮点交通流量矩阵,训练城市市内交通流量预测网络;根据矩形网格对车辆行驶路径的轨迹点序列进行简化处理,得到车辆行驶路径的网格化轨迹;根据归一化浮点交通流量矩阵及网格化轨迹,确定网格化轨迹中各轨迹点的特征向量;根据各轨迹点的特征向量,训练城市市内交通旅行时间预测网络;基于城市市内交通流量预测网络和城市市内旅行时间预测网络,根据待测车辆的待测行驶路径,可准确确定所述待测车辆行驶完所述待测路径所需要的旅行时间,可提高复杂场景下预测精度。


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    Title :

    Method and system for predicting urban traffic travel time


    Additional title:

    城市市内交通旅行时间的预测方法及系统


    Contributors:
    XIANG SHIMING (author) / ZHANG QI (author) / MENG GAOFENG (author) / HUO CHUNLEI (author) / PAN CHUNHONG (author)

    Publication date :

    2020-12-01


    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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