基于停车信息的城市交通流量预测  

Urban Traffic Flow Prediction Based on Parking Information

作　　者：刑永捷 刘明哲 黎文皓 董京 

机构地区：[1]桂林电子科技大学建筑与交通工程学院,广西桂林 [2]桂林市公安局交警支队科研所,广西桂林

出　　处：《交通技术》2018年第6期397-404,共8页Open Journal of Transportation Technologies

摘　　要：为了实现对停车信息的有效利用,本文使用区域内停车场信息采集系统获取车辆出入流量数据,运用TransCAD提供的交通规划“四阶段法”建立宏观交通规划模型,反推并预测出周边道路的动态交通流运行状态,提出一种基于停车信息的城市交通流量预测方法,并通过案例证明了该方法可以有效预测区域路网流量。In order to make effective use of parking information, this article uses sparking information ac-quisition system to obtain vehicle in and out data. On this basis, the “four-phase method” of traffic planning providing by TransCAD is applied to establish a macroscopic traffic planning model, and the dynamic traffic flow running state of the surrounding roads is predicted backwards. Finally, an urban traffic flow prediction method based on parking information is proposed, and it is proved that this method can effectively predict regional road network traffic flow.

关 键 词：停车信息 流量预测 TRANSCAD 

分 类 号：U4[交通运输工程—道路与铁道工程]