基于复杂网络的城市交通拥堵传播仿真分析

2016 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI) Pub Date : 2016-07-10 DOI:10.1109/SOLI.2016.7551690

Ran Tao, Y. Xi, Dewei Li

{"title":"基于复杂网络的城市交通拥堵传播仿真分析","authors":"Ran Tao, Y. Xi, Dewei Li","doi":"10.1109/SOLI.2016.7551690","DOIUrl":null,"url":null,"abstract":"With the rapid development of economy, the number of vehicles grows, and traffic congestion occurs widely. Improving the condition of traffic congestion is urgent. The aim of this paper was to analyze the relationship between links and explore how they influence congestion propagation. Based on the existing Cell Transmission Model (CTM) theory, we had a lot of simulation under various circumstances through the program, in which the Average Journey Velocity (AJV) is selected as a measurement of the degree of link congestion. We established Link State Graph which is a directed network graph regarding links as nodes to observe the relationship between links. At last, we concluded how the location and adjacent links of a link can influence congestion propagation with the Link State Graph.","PeriodicalId":128068,"journal":{"name":"2016 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Simulation analysis on urban traffic congestion propagation based on complex network\",\"authors\":\"Ran Tao, Y. Xi, Dewei Li\",\"doi\":\"10.1109/SOLI.2016.7551690\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the rapid development of economy, the number of vehicles grows, and traffic congestion occurs widely. Improving the condition of traffic congestion is urgent. The aim of this paper was to analyze the relationship between links and explore how they influence congestion propagation. Based on the existing Cell Transmission Model (CTM) theory, we had a lot of simulation under various circumstances through the program, in which the Average Journey Velocity (AJV) is selected as a measurement of the degree of link congestion. We established Link State Graph which is a directed network graph regarding links as nodes to observe the relationship between links. At last, we concluded how the location and adjacent links of a link can influence congestion propagation with the Link State Graph.\",\"PeriodicalId\":128068,\"journal\":{\"name\":\"2016 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SOLI.2016.7551690\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOLI.2016.7551690","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 6

摘要

随着经济的快速发展，车辆数量不断增加，交通拥堵现象普遍存在。改善交通拥挤的状况迫在眉睫。本文的目的是分析链路之间的关系，并探讨它们如何影响拥塞传播。基于现有的小区传输模型(CTM)理论，我们通过程序对各种情况进行了大量的仿真，其中选择平均行程速度(AJV)作为链路拥塞程度的度量。我们建立了以链路为节点的有向网络图——链路状态图来观察链路之间的关系。最后，利用链路状态图分析了链路的位置和相邻链路对拥塞传播的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Simulation analysis on urban traffic congestion propagation based on complex network

With the rapid development of economy, the number of vehicles grows, and traffic congestion occurs widely. Improving the condition of traffic congestion is urgent. The aim of this paper was to analyze the relationship between links and explore how they influence congestion propagation. Based on the existing Cell Transmission Model (CTM) theory, we had a lot of simulation under various circumstances through the program, in which the Average Journey Velocity (AJV) is selected as a measurement of the degree of link congestion. We established Link State Graph which is a directed network graph regarding links as nodes to observe the relationship between links. At last, we concluded how the location and adjacent links of a link can influence congestion propagation with the Link State Graph.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2016 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)

自引率

0.00%

发文量