The invention discloses a trajectory reconstruction method based on vehicle passing section features, and the method comprises the steps: constructing an ambiguity path library based on all portal nodes in the obtained road network topological data of an expressway portal; generating a travel track of the vehicle based on the vehicle ETC transaction data, comparing the travel track with the road network topology data of the expressway portal, and estimating a section travel distance of an abnormal section formed between portal nodes which are not directly communicated on the travel track by adopting a random forest model; and based on the travel track, the abnormal section track, the section travel distance and the ambiguity path library, obtaining an actual traffic reconstruction track of the vehicle in the corresponding section. According to the method, the deep constrained Dijkstra algorithm is adopted, the shortest path is not used for replacing the actual path, the ambiguous path of the expressway is extracted, a more comprehensive and accurate ambiguous track database is constructed, and the problems of data distortion, repeated transaction and the like of a portal-based passage section are solved.

    本发明公开了一种基于车辆通行区段特征的轨迹重构的方法,包括步骤:基于获取的高速公路门架的路网拓扑数据中的所有门架节点,构建二义性路径库;基于车辆ETC交易数据生成车辆的行程轨迹,与高速公路门架的路网拓扑数据进行对比,并对该行程轨迹上不直接连通的门架节点之间所形成的异常区段,采用随机森林模型估算该区段轨迹的区段行程距离;基于行程轨迹、异常区段轨迹、区段行程距离、二义性路径库,以得到车辆在相应区段下的实际通行重构轨迹。本发明通过采用深度约束的迪杰斯特拉算法,而非用最短路径代替实际路径,对高速公路二义性路径进行提取并构建了更为全面、精确的二义性轨迹数据库,解决基于门架的通行区段数据失真,重复交易等问题。


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    Titel :

    Trajectory reconstruction method based on vehicle passing section characteristics


    Weitere Titelangaben:

    一种基于车辆通行区段特征的轨迹重构的方法


    Beteiligte:
    ZHU DELIAN (Autor:in) / ZOU FUMIN (Autor:in) / XU CHENYUAN (Autor:in) / CHEN JIFENG (Autor:in) / ZHONG HUAN (Autor:in) / LUO YONGYU (Autor:in) / SHI ROUYUE (Autor:in) / HU ZERONG (Autor:in)

    Erscheinungsdatum :

    03.10.2023


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06Q Datenverarbeitungssysteme oder -verfahren, besonders angepasst an verwaltungstechnische, geschäftliche, finanzielle oder betriebswirtschaftliche Zwecke, sowie an geschäftsbezogene Überwachungs- oder Voraussagezwecke , DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung



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