期刊文献+

环形快速路交通流的改进元胞传输模型建立与仿真 被引量:1

An Improved Cell Transmission model for Simulation of Traffic Flows of Ring Roads
下载PDF
导出
摘要 交通流模型一直是交通系统中最基本的研究内容。适当的交通流模型可用于路网交通流预测和信号控制。以北京环形快速路为背景,采用改进的元胞传输模型(modified cell transmissionmodel,MCTM)进行建模。在MCTM模型中,放宽了原始CTM模型均等划分元胞的限制,并采用密度代替车辆数表示元胞状态,对不同元胞连接方式(简单连接、融合、分离)建立了元胞交通流传输关系。与广泛应用的微观仿真软件Paramics进行了仿真对比分析。结果表明,与原始CTM相比MCTM虽然大大减少了计算复杂性,但仍然可以准确地描述环形快速路交通流动态特性,从而为进一步的交通流预测和匝道控制提供模型基础。 Traffic flow modeling has always been a foundational component of transportation studies. Traffic flow models can be used for forecasting traffic flows and then providing a basis for signal control. In this study, an improved cell transmission model (MCTM) is developed for the ring roads in Beijing. The MCTM removes the restriction of the o- riginal CTM that requires equally partitioning space to develop cells, but it takes density as its state variable, instead of the number of vehicles in the cell. Traffic flow transmission rules between cells are defined for different connection mecha- nisms between cells, including simple connection, merging and diverging. A comparison is made between the simulated results of the MCTM and those from the microscopic traffic simulation model Paramics, The results show that, although it is less complex than CTM in computation, the MCTM still can describe the dynamic characteristics of traffic flow on the ring road accurately and effectively, and can be used in the future for traffic flow forecasting and ramp metering.
出处 《交通信息与安全》 2012年第5期45-49,共5页 Journal of Transport Information and Safety
基金 国家高技术研究发展计划(863计划)项目(批准号:2011AA110301 2011AA110306) 高等学校博士点专项科研基金项目(批准号:20111103110017)资助
关键词 元胞传输模型(CTM) 改进的元胞传输模型(MCTM) 环形快速路 系统仿真 ceil transmission model(CTM) modified cell transmission modei(MCTM) ring road system simulation
  • 相关文献

参考文献12

  • 1Lighthill M J, Whitham G B. On kinematic waves I: Flood movement in long rivers [J], Proceedings Royal Society of London A. , 19 5 5 ( 2 2 9 ) : 2 81-316.
  • 2Lighthill M J,Whitham G B. On kinematic wa-ves II.Theory of traffic flow on long crowded roads [J]. Proceedings Royal Society of London A. , 1955 (229) :317-345.
  • 3Daganzo C F. The cell transmission model: A dy- namic representation of highway traffic consistent with the hydrodynamic theory[J]. Transp. Res. B, 1994,28 (4) : 269-287.
  • 4Daganzo C F. The cell transmission model: Part 1 : Network traffic[J]. Transp. Res. B, 1995,29 (2) : 79-93.
  • 5黄玮,沈峰,杨晓光.基于细胞传输模型的交通流仿真特征及适用性研究[J].交通与计算机,2008,26(1):19-23. 被引量:8
  • 6陈虹,余立建,龚炯.基于CTM的城市交通信号优化控制与仿真[J].公路交通科技,2009(S1):155-158. 被引量:1
  • 7Horowitz R, May A, Skabardonis A, et al. Design field implementation and Evaluation of adaptive ramp metering atgorithmsER]. California University of California, Berkeley, California PATH Re- search,2005.
  • 8盛慧,王炜,胡晓健.基于改进型CTM模型的道路交通量预测[J].公路交通科技,2009(S1):49-52. 被引量:7
  • 9Szeto W Y,Ghosh B,Basu B,et al. Multivariate traffic forecasting technique using cell transmission model and SAR[MA model]J]. Journal of Trans. Eng. 2009 (135) : 658-667.
  • 10Lo H K, Chang E, Chan Y C. Dynamic netw- orktraffic control[J]. Transp. Res. A. , 2001,35(8); 721-744.

二级参考文献38

共引文献23

同被引文献8

引证文献1

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部