The invention belongs to the technical field of urban intelligent public transport information processing, and discloses a bus arrival time prediction method for collinear line data. The method comprises the steps of collecting intelligent bus operation basic data and establishing a database; preprocessing the acquired data; building a prediction model framework; determining a prediction model structure based on the established prediction model framework, and establishing a bus arrival time prediction model; and utilizing the constructed bus arrival time prediction model to predict the bus arrival time. The invention provides an arrival time prediction method based on collinear line operation data. By introducing the operation information of other collinear lines, the time headway intervalbetween vehicles is refined, the timeliness and reliability of historical data are improved, meanwhile, the mutual influence between the vehicles on the lines can be considered, and the influence ofinterference factors on bus arrival time prediction is reduced.

    本发明属于城市智能公共交通信息处理技术领域,公开了一种共线线路数据的公交车到站时间预测方法,采集智能公交运营基础数据并建立数据库;对采集到的数据进行预处理;搭建预测模型框架;基于搭建的预测模型框架,确定预测模型结构,构建公交车到站时间预测模型;利用构建得到的公交车到站时间预测模型进行公交车到站时间预测。本发明提出了一种基于共线线路运营数据的到站时间预测方法,通过引入其他共线线路的运营信息,以细化车辆间的车头时距间隔,提高历史数据的时效性和可靠性,同时也能将线路车辆间的相互影响纳入考虑,减小了干扰因素对公交到站时间预测带来的影响。


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    Title :

    Bus arrival time prediction method for collinear line AVL data


    Additional title:

    一种共线线路AVL数据的公交车到站时间预测方法


    Contributors:
    YE PENGYAO (author) / DU MENGQIU (author) / ZHANG NAN (author) / XIAO YAN (author) / DENG YIFENG (author)

    Publication date :

    2020-11-06


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS




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