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    • 3. 发明申请
    • SYSTEM AND METHOD FOR IDENTIFYING BACKHAUL OPPORTUNITIES
    • 用于识别反动机会的系统和方法
    • US20100179849A1
    • 2010-07-15
    • US12568699
    • 2009-09-29
    • Jonathan Steven MuckellPatricia Denise MackenzieDaniel John MessierJoseph James SalvoQing Cao
    • Jonathan Steven MuckellPatricia Denise MackenzieDaniel John MessierJoseph James SalvoQing Cao
    • G06Q10/00G01S5/00
    • G06Q10/08G06Q10/0631
    • A method for identifying backhaul opportunities is provided. The method includes receiving data corresponding to a position, time and status from a plurality of vehicles. The method includes generating a database of trips made by the plurality of vehicles based on the data received, wherein each of the trips is identified with a start point and an end point. The method also includes determining similarity between the trips to cluster the trips, wherein said determining comprises comparing a spatial distance between respective start points and respective end points with a pre-determined distance criteria. The method further includes identifying a frequency of each of the trips clustered made by the plurality of vehicles, wherein each of the trips are actual routes traveled between respective start points and respective end points. The method also includes generating a model for historical vehicle movement based on the identified frequent trips. The method also includes identifying a plurality of backhaul opportunities for a proposed empty trip using the model generated. The method further includes ranking the backhaul opportunities based on a frequency and cargo status of trips intersecting the proposed empty trip.
    • 提供了一种识别回程机会的方法。 该方法包括从多个车辆接收对应于位置,时间和状态的数据。 该方法包括基于接收到的数据生成由多个车辆进行的行驶数据库,其中每个行程用起始点和终点标识。 该方法还包括确定跳闸之间的相似性以聚集旅行,其中所述确定包括用预定的距离标准来比较各个起始点和各个终点之间的空间距离。 该方法还包括识别由多个车辆组成的每个行程的频率,其中每个行程是在相应起始点和相应终点之间行进的实际路线。 该方法还包括基于所识别的频繁跳闸来生成用于历史车辆运动的模型。 该方法还包括使用生成的模型识别所提出的空行程的多个回程机会。 该方法还包括基于与所提出的空旅行相交的行程的频率和货物状态对回程机会进行排序。