Article

Science in China Series F: Information Sciences

, Volume 51, Issue 7, pp 948-964

Urban traffic congestion propagation and bottleneck identification

  • JianCheng LongAffiliated withState Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University
  • , ZiYou GaoAffiliated withState Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University Email author 
  • , HuaLing RenAffiliated withState Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University
  • , AiPing LianAffiliated withState Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University

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Abstract

Bottlenecks in urban traffic network are sticking points in restricting network collectivity traffic efficiency. To identify network bottlenecks effectively is a foundational work for improving network traffic condition and preventing traffic congestion. In this paper, a congestion propagation model of urban network traffic is proposed based on the cell transmission model (CTM). The proposed model includes a link model, which describes flow propagation on links, and a node model, which represents link-to-link flow propagation. A new method of estimating average journey velocity (AJV) of both link and network is developed to identify network congestion bottlenecks. A numerical example is studied in Sioux Falls urban traffic network. The proposed model is employed in simulating network traffic propagation and congestion bottleneck identification under different traffic demands. The simulation results show that continual increase of traffic demand is an immediate factor in network congestion bottleneck emergence and increase as well as reducing network collectivity capability. Whether a particular link will become a bottleneck is mainly determined by its position in network, its traffic flow (attributed to different OD pairs) component, and network traffic demand.

Keywords

cell transmission model node model congestion bottleneck average journey velocity