基于流量和出租车GPS数据的城市道路网络宏观基本图

发布时间：2018-04-10 23:13

本文选题：交通工程 + 临界路网平均车辆数　；参考：《公路交通科技》2014年09期

【摘要】：为把握城市宏观交通状况,发掘城市道路网络交通流内在特性,从而达到缓解日益严峻的交通问题的目的,对交叉口流量和出租车GPS两类数据进行数据融合,运用宏观基本图(MFD)和广义宏观基本图(GMFD)在城市道路网络中的存在性以及二者之间存在的差异,以路网平均车辆数、路网通行能力和密度分布为指标来描述MFD和GMFD,并提出一种利用路段流量和出租车GPS数据拟合得到MFD和GMFD的方法,发现路网中密度的不均匀分布是导致路网通行能力不高的原因。针对由长沙市13个道路交叉口组成的区域路网,分别计算出分小区和分路段的MFD特征值,提出了根据存储空间能力(即临界路网平均车辆数的大小)对拥堵路网进行合理分流的方法,实现高峰时期拥堵路段的路径诱导以及路网通行能力的最大化。
[Abstract]:In order to grasp the macroscopic traffic situation of the city and explore the inherent characteristics of the traffic flow in the urban road network, so as to alleviate the increasingly serious traffic problems, the data fusion of the traffic flow at the intersection and the GPS data of the taxi is carried out.The existence of MFDs and GMFDs in urban road networks and the differences between them are used to analyze the average number of vehicles in the road network.The road network capacity and density distribution are used as indicators to describe the MFD and GMFDs. A method to get MFD and GMFD by using the road flow and taxi GPS data fitting is proposed. It is found that the uneven distribution of the density in the road network is the cause of the low capacity of the road network.According to the regional road network composed of 13 road intersections in Changsha, the MFD eigenvalues of sub-district and sub-section are calculated respectively.According to the storage space capacity (that is, the average number of vehicles on the critical road network), this paper proposes a reasonable method of diverting the congestion road network to realize the path guidance of the congested section during the peak period and the maximum capacity of the road network.
【作者单位】：长沙理工大学交通运输工程学院;贵阳职业技术学院轨道交通分院;
【基金】：国家自然科学基金项目(71071024) 湖南省自然科学基金项目(12JJ2025) 长沙市科技局重点项目(K1106004-11)
【分类号】：U491;U495

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