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城市道路交通瓶颈识别算法研究 被引量:4

Research on the identification algorithm of urban road traffic bottleneck
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摘要 随着机动车保有量逐年上升,城市道路拥堵情况愈加严重。很多交通拥堵的根源都可以追溯到交通瓶颈,通过在瓶颈处实施一些交通策略,可以改善全网范围内交通状况。因此,分析路网中拥堵扩散趋势,并进一步识别出交通瓶颈至关重要。根据路段拥堵的判断条件,分析路网中各时间节点的拥堵路段,构建拥堵路网结构图。给出了路段因果关系分析的相关定义,通过对拥堵路网结构图进行因果关系分析得到拥堵扩散趋势图,用于计算路段扩散成本,将自身拥堵成本与扩散成本之和超过指定阈值的路段视为交通瓶颈。使用SUMO仿真软件模拟验证,进一步在实际场景中进行测试,论证了所提技术的有效性。 With the increasing number of motor vehicles year by year, urban road congestion is becoming more and more serious. The root cause of many traffic congestion can be traced back to traffic bottlenecks. By implementing some traffic strategies at the bottlenecks, traffic conditions can be improved throughout the network. Therefore, it is very important to analyze the congestion diffusion trend in the road network and further identify the traffic bottlenecks. Firstly, according to the judgment conditions of road congestion, the congested road sections of each time node in the road network are analyzed to construct the congested road network structure diagram. Then, the relevant definitions of link causality analysis are given. Congestion diffusion trend diagram is obtained by analyzing the causal relationship of the congested road network structure diagram. The congestion diffusion trend graph is used to calculate the road segment diffusion cost, and the road segment whose sum of its own congestion cost and diffusion cost exceeds a specified threshold is regarded as a traffic bottleneck. Finally, SUMO simulation software is used to simulate and verify, and further tests are carried out in actual scenarios to demonstrate the effectiveness of the technology proposed in this paper.
作者 冯嘉松 杨国平 徐启禄 罗强 帅祥 FENG Jiasong;YANG Guoping;XU Qilu;LUO Qiang;SHUAI Xiang(School of Software Engineering,Chengdu University of Information Technology,Chengdu 610225,China;Qingdao Metro Co.,Ltd.,Qingdao 266100,China)
出处 《重庆理工大学学报(自然科学)》 CAS 北大核心 2022年第8期171-181,共11页 Journal of Chongqing University of Technology:Natural Science
基金 四川省科技计划重点研发项目(2021YFQ0057)。
关键词 拥堵瓶颈 扩散趋势 城市交通 SUMO congestion bottleneck diffusion trend city traffic SUMO
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