Research on Influencing Spreading Model of Road Congestion Based on Traffic Flow and Cellular Automata Approaches

Yu Zhuo Men; Hai Bo Yu; Xian Sheng Li; Hua Wang; Liang Xu

doi:10.4028/www.scientific.net/AMR.605-607.1761

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 605-607Research on Influencing Spreading Model of Road...

Research on Influencing Spreading Model of Road Congestion Based on Traffic Flow and Cellular Automata Approaches

Abstract:

The quantifying model of influences from urban road traffic accidents is built in this paper, in order to research influencing coverage and effects from road traffic accidents; and the reasonable evaluation indexes are adopted based on the model to quantify influencing coverage and effects from road traffic accidents and determine related factors with influencing coverage and effects from road traffic accidents, also the model is contrasted and verified by actual cases; it is shown from the results that the queue length, traffic recovery time and travel time error are in compliance with the requirements, indicating that the simulation results of this model is feasible and effective, with a certain reliability, and provides a theoretical basis for the evaluation of the effectiveness of traffic emergency measures and implementation of traffic control.

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Periodical:

Advanced Materials Research (Volumes 605-607)

Pages:

1761-1764

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.605-607.1761

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Online since:

December 2012

Authors:

Yu Zhuo Men, Hai Bo Yu, Xian Sheng Li, Hua Wang, Liang Xu

Keywords:

Cellular Automata Approaches, Traffic Accidents, Traffic Flow, Urban Road

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References

[1] C. Wright and P. Roberg. Transport Police, Vol. 5 (1998), pp.23-28.

Google Scholar

[2] G. B Whitham. Journal of Fluid Mechanics Digital Archive, Vol. 4 (2006), pp.337-341.

Google Scholar

[3] J.P. Gao and Z.Y. Guo. Journal of Tongji University (Natural Science). Vol. 32 (2004), pp.907-908. (In Chinese).

Google Scholar

[4] S. Rajalin, Accident Analysis and Prevention. Vol. 26 (1994), p.560.

Google Scholar

[5] H. M Jagtman, H. M Hale and T. Heijer. Reliability Engineering & System Safety, Vol. 90 (2005), pp.210-212.

Google Scholar

[6] W. T Han, Q. Zhang and A. M Jia. Journal of Xi'an University of Architecture & Technology (Natural Science Edition), Vol. 37 (2005), pp.375-376. (In Chinese).

Google Scholar

[7] X.S. Li, Y.Y. Ren, J.F. Xi and S.X. Zuo: Journal of Jilin University (Engineering and Technology Edition. Vol. 40 (2010), pp.171-172. (In Chinese).

Google Scholar

[8] Y.Y. Ren: Doctoral Dissertation of Jilin University. School of Transportation, Changchun (2011) (In Chinese).

Google Scholar