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为了使对城市道路网络交通状态的分析不至陷入交叉口或路段内部的交通状态分析,需从中观或宏观的角度去分析交通状态。本文在探讨路网状态特征参数的基础上,定义了“路段拥挤度”指标,通过建立城市交通网络模型,并基于浮动车(GPS)采集数据设计了路网交通拥堵时空演化量化分析的流程,采用“路段拥堵持续时间”“区域行程时间延误”“区域拥堵路段数量”三个时空参数对路网交通拥堵状态的时空演化进行了量化研究。最后结合上海市浮动车数据与实际交通网络,得出了交通拥堵的延误时间和空间范围与拥堵程度大小的关系等结论。
In order to make the analysis of the traffic state of the urban road network not to fall into the traffic state analysis at the intersection or inside the road section, it is necessary to analyze the traffic state from the perspective of the medium or the macro. On the basis of exploring the characteristic parameters of road network, this paper defines the index of “congestion degree of road sections”. Based on the model of urban traffic network and the data collected from floating car (GPS), the spatial and temporal evolution of road network congestion is analyzed The process uses the “congestion duration of the road segment ” “the delay of the regional travel time ” “the number of congestion segments in the area ” three spatial and temporal parameters quantify the temporal and spatial evolution of traffic congestion on the road network. Finally, the author concludes the relationship between the delay time and the spatial extent of traffic congestion and the degree of congestion according to the data of Shanghai floating vehicles and the actual traffic network.