The invention provides a customized bus demand area identification method. The method comprises the steps of (1) obtaining a road network structure database and a vehicle running track database in a specified space-time range of a city; (2) screening commuting tracks in the vehicle running track database to form a commuting track database; (3) selecting k key commuting starting and ending point pairs; (4) performing common track pairing on the selected k key commuting starting and ending point pairs; and (5) according to a space-time limitation principle, performing local sub-trajectory clustering by depending on the common track of the key commuting starting and ending point pairs, and completing identification of the customized bus demand area. According to the invention, on the basis of track big data in an intelligent network connection environment, data periodic mode and frequent mode information is mined, and a high-demand area of a customized bus is identified. According to the invention, the frequency degree and the overlapping degree of commuting travel tracks can be quantitatively analyzed, the demand area of the customized bus is accurately determined, and an important technical support is provided for operation and popularization of customized bus services.
本发明提供了一种定制公交需求区域识别方法,该方法包括以下步骤:(1)获取城市指定时空范围的道路网络结构数据库和车辆运行轨迹数据库;(2)筛选车辆运行轨迹数据库中的通勤轨迹,形成通勤轨迹数据库;(3)选定k个关键通勤起终点对;(4)为选定的k个关键通勤起终点对进行常用轨迹配对;(5)根据时空限制原则,依托关键通勤起终点对的常用轨迹进行局部子轨迹聚类,完成定制公交需求区域的识别。本发明依托智能网联环境下的轨迹大数据,挖掘数据周期模式与频繁模式信息,识别定制公交的高需求区域。本发明能够量化分析通勤出行轨迹的频繁程度与交叠程度,精准确定定制公交的需求区域,为定制公交服务的运营与推广提供了重要的技术支撑。
Customized bus demand area identification method
一种定制公交需求区域识别方法
2021-11-30
Patent
Electronic Resource
Chinese
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