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Modeling of Spacing Distribution of Queuing Vehicles at Signalized Junctions Using Random-Matrix Theory

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【作者】 靳雪翔苏岳龙张毅魏铮李力

【Author】 JIN Xuexiang SU Yuelong,ZHANG Yi WEI Zheng,LI Li Department of Automation,Tsinghua University,Beijing 100084,China

【机构】 Department of Automation,Tsinghua University

【摘要】 <正>The modeling of headway/spacing between two consecutive vehicles in a queue has many applications in traffic flow theory and transport practice.Most known approaches have only studied vehicles on freeways.This paper presents a model for the spacing distribution of queuing vehicles at a signalized junction based on random-matrix theory.The spacing distribution of a Gaussian symplectic ensemble(GSE)fits well with recently measured spacing distribution data.These results are also compared with measured spacing distribution observed for the car parking problem.Vehicle stationary queuing and vehicle parking have different spacing distributions due to different driving patterns.

【Abstract】 The modeling of headway/spacing between two consecutive vehicles in a queue has many applications in traffic flow theory and transport practice.Most known approaches have only studied vehicles on freeways.This paper presents a model for the spacing distribution of queuing vehicles at a signalized junction based on random-matrix theory.The spacing distribution of a Gaussian symplectic ensemble(GSE)fits well with recently measured spacing distribution data.These results are also compared with measured spacing distribution observed for the car parking problem.Vehicle stationary queuing and vehicle parking have different spacing distributions due to different driving patterns.

【基金】 Partly supported by the National Key Basic Research and Development(973) Program of China(No.2006CB705506);the National High-Tech Research and Development(863) Program of China (Nos.2006AA11Z229,2007AA11Z222);the National Natural Science Foundation of China(Nos.60374059,50708055)
  • 【文献出处】 Tsinghua Science and Technology ,清华大学学报(自然科学版)(英文版) , 编辑部邮箱 ,2009年02期
  • 【分类号】O242.1
  • 【被引频次】4
  • 【下载频次】61
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