Traffic Accident Propagation Properties and Control Measures for Urban Links Based on Cellular Automata

With the rapid development of urban transport and the sharp increase in vehicle population, traffic accidents form one of the most important causes of urban traffic congestion other than the imbalance between traffic supply and demand. Traffic congestion causes severe problems, such as environment contamination and energy dissipation. Therefore, it would be useful to analyze the congestion propagation characteristics after traffic accidents. Numerical analysis and computer simulation were two of the typical methods used at present to study the traffic congestion propagation properties. The latter was more widespread as it is more consistent with the actual traffic flow and more visual than the former. In this paper, an improved cellular automata (CA) model was presented to analyze traffic congestion propagation properties and to evaluate control strategies. In order to apply them to urban traffic flow simulation, the CA models have been improved and expanded on. Computer simulations were built for congestion not only extending to the upstream intersection, but also the upstream intersection and the entire road network, respectively. Congestion propagation characteristics after road traffic accidents were obtained, and controls of different severities and durations were analyzed. The results provide the theoretical foundation and practical means for the control of congestion.

• Record URL:
  • https://doi.org/10.1155/2013/905640
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/16878132
• Supplemental Notes:
  • © 2013 Xian-sheng Li et al.
• Authors:
  • Li, Xian-sheng
  • Zheng, Xue-lian
  • Guo, Wei-wei
  • Ren, Yuan-yuan
  • Wang, Yu-ning
  • Yang, Meng
• Publication Date: 2013

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References;
• Pagination: 8p
• Serial:
  • Advances in Mechanical Engineering
  • Volume: 2013
  • Issue Number: Article ID 905640
  • Publisher: Sage Publications, Incorporated
  • ISSN: 1687-8132
  • EISSN: 1687-8140
  • Serial URL: https://journals.sagepub.com/home/ade
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Cellular automata; Highway traffic control; Incident management; Nonrecurrent congestion; Traffic crashes; Traffic flow; Traffic simulation
• Uncontrolled Terms: Road networks
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I71: Traffic Theory; I73: Traffic Control;

Filing Info

• Accession Number: 01500583
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 3 2013 4:05PM