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A novel conditional cell transmission model for oversaturated arterials
  • ISSN号:1005-9784
  • 期刊名称:Journal of Central South University of Technology
  • 时间:2012.5
  • 页码:1466-1474
  • 分类:TP393.4[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术] O645[理学—物理化学;理学—化学]
  • 作者机构:[1]Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai 201804, China, [2]Department of Civil, Construction, and Environmental Engineering, The University of Alabama, Tuscaloosa, AL 35401, USA
  • 相关基金:Project(51108343) supported by the National Natural Science Foundation of China; Project(06121) supported by University of Transportation Center for Alabama, USA
  • 相关项目:基于元胞传输模型的信号交叉口溢流的解析及建模
中文摘要:

The objective of this work is to develop a novel feature for traffic flow models,when traffic queues on two-way arterials periodically extend until then they block an upstream signal in oversaturated conditions.The new model,proposed as conditional cell transmission model(CCTM) has been developed with two improvements.First,cell transmission model(CTM) is expanded for two-way arterials by taking account of all diverging and merging activities at intersections.Second,a conditional cell is added to simulate periodic spillback and blockages at an intersection.The results of experiments for a multilane,two-way,three-signal sample network demonstrate that CCTM can accommodate various traffic demands and accurate representation of blockages at intersections.The delay of left turns is underestimated by 40 % in moderate conditions and by 58% in oversaturated condition when using the CTM rather than CCTM.Finally,the consistency between HCS 2000 and CCTM shows that CCTM is a reliable methodology of modeling traffic flow in oversaturated condition.更多还原

英文摘要:

The objective of this work is to develop a novel feature for traffic flow models, when traffic queues on two-way arterials periodically extend until then they block an upstream signal in oversaturated conditions. The new model, proposed as conditional cell transmission model (CCTM) has been developed with two improvements. First, cell transmission model (CTM) is expanded for two-way arterials by taking account of all diverging and merging activities at intersections. Second, a conditional cell is added to simulate periodic spillback and blockages at an intersection. The results of experiments for a multilane, two-way, three-signal sample network demonstrate that CCTM can accommodate various traffic demands and accurate representation of blockages at intersections. The delay of left turns is underestimated by 40 % in moderate conditions and by 58% in oversamrated condition when using the CTM rather than CCTM. Finally, the consistency between HCS 2000 and CCTM shows that CCTM is a reliable methodology of modeling traffic flow in oversaturated condition.

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