The invention discloses a flow prediction method for urban shared travel. The method comprises the steps of obtaining a topological structure of an urban traffic network, obtaining a travel mode and related data in the urban traffic network, and obtaining an OD traffic demand in the urban traffic network; constructing an urban multi-mode random P2P ride-sharing user balanced traffic network, and establishing a traffic demand constraint and a ride-sharing matching constraint of the network; calculating the generalized travel cost of the traveler from multi-angle comprehensive consideration of travel time perceived by the traveler, in-vehicle comfort loss and a hitchhiking online operation mechanism; and carrying out flow distribution on the network based on the logit travel selection behavior and the random P2P ride-sharing user balance principle to obtain the path traffic flow of the urban multi-mode complex network. According to the invention, the traffic flow of the modern urban traffic network can be effectively predicted, so that a reliable basis is provided for related departments to formulate management measures and industrial standards.
本发明公开了一种城市共享出行的流量预测方法,其步骤为,获得城市交通网络的拓扑结构,获取城市交通网络中的出行模式和相关数据,并获取城市交通网络中的OD交通需求;构建城市多模式随机P2P共乘用户均衡交通网络,建立该网络的交通需求约束和共乘匹配约束;从出行者感知的出行时间、车内舒适感损失和顺风车线上运营机制多角度综合考量,计算出行者的广义出行成本;基于logit出行选择行为和随机P2P共乘用户均衡原则,对网络进行流量分配,获得城市多模式复杂网络的路径交通流量。本发明可以有效预测现代城市交通网络的交通流量,从而为相关部门制定管理措施、行业标准提供可靠的依据。
Flow prediction method for urban shared travel
一种城市共享出行的流量预测方法
30.11.2021
Patent
Elektronische Ressource
Chinesisch
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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