公开(公告)号：US20160225262A1

公开(公告)日：2016-08-04

申请号：US14608246

申请日：2015-01-29

Applicant: XEROX CORPORATION

Inventor： Narayanan Unny Edakunni ,  Aditi Raghunathan

IPC: G08G1/00

CPC classification number: G06Q10/04

Abstract: The disclosed embodiments illustrate methods and systems for predicting demand of vehicles in a transportation network. The method includes determining demand events at each of one or more locations for time intervals based on historical demand data. The demand events correspond to a demand of vehicles at one or more locations during plurality of time intervals throughout a day. The method includes creating a graph comprising nodes, and edges connecting nodes, each node being representative of a demand event from demand events. An edge is representative of dependency between two demand events from demand events. The method includes predicting demand of vehicles at a location from one or more locations during a predetermined time interval based on the graph and a real time demand of vehicles associated with other demand event. The method includes displaying demand prediction on a computing device at one or more locations of transportation network.

Abstract translation: 所公开的实施例示出了用于预测运输网络中的车辆的需求的方法和系统。 该方法包括基于历史需求数据确定一个或多个位置中的每个位置的时间间隔的需求事件。 需求事件对应于在一天中的多个时间间隔期间在一个或多个位置处的车辆的需求。 该方法包括创建包括节点和连接节点的边的图，每个节点代表来自需求事件的需求事件。 边缘代表了需求事件的两个需求事件之间的依赖关系。 该方法包括基于图表和与其他需求事件相关联的车辆的实时需求来预测在预定时间间隔期间来自一个或多个位置的位置处的车辆的需求。 该方法包括在运输网络的一个或多个位置处在计算设备上显示需求预测。