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A Method of Designing CMS Guide Plan under Accident Impact in Province Expressway Net

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Abstract:

Traffic guide is a very important service for society. Current guide system is poor efficiency and complexly in operation. This made traffic guide information can’t be published regularly and in time. It also reduced down expressway net’s ability of providing traffic guide information for society. Regard CMS on expressway net as objective, after sorting and concluding guide information by scene analysis, the paper suggests a systematic method of processing traffic guide information based on dynamic traffic information automatic and prove it by an application. It can send detour information to each piece of CMS on expressway net quickly without redundant information. Traffic guide level on province expressway net would be improved extremely.

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Info:

Periodical:

Applied Mechanics and Materials (Volumes 135-136)

Pages:

56-62

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.135-136.56

Citation:

Cite this paper

Online since:

October 2011

Authors:

Yin Li Jin, Ming Ming Zhang, Chen Wang

Keywords:

Dynamic Traffic Information, Expressway Net, Plan Design, Traffic Guide

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Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

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References

[1] ZHOU Chaoxiong, SUN Qiaoyan. Study on Information Processing Technology for Urban Traffic Guidance System, J. Journal of Highway and Transportation Research and Development, 2003. 6 pp.28-30.

Google Scholar

[2] FANG Shou'en. Expressway. Beijing: China Communications Press, 2002. 9, pp.10-11.

Google Scholar

[3] ZHANG Jing. History review of China expressway's twenty years development, J. Comprehensive Transportation, 2008. 11, pp.25-27.

Google Scholar

[4] JIYANG Beibei. A Research of the Traffic Incident Duration Prediction Methods, D. school of transportation engineering Tongji University, PHD paper, (2008).

Google Scholar

[5] Dong L W , Guan L Y. Hierarchical modeling of a tabu search based manufacturing plant order sequencing and vehicle dispatching problem, Proc 4th International Conference on Control and Automation, Montreal, Canada. 2003: 995-999.

DOI: 10.1109/icca.2003.1229253

Google Scholar

[6] James Allen. Natural language understanding. Beijing: Publishing house of electronics industry, (2005).

Google Scholar

[7] Thomas H. Comen, Charles E Leiserson Ronald, L. Rivest Clifford Stein. Introduction of arithmatic（second edition）,. Beijing: Higher education press, (2003).

Google Scholar

[8] GAN Ying'ai. Operation research(second edition),. Beijing: Tsinghua university press, (1999).

Google Scholar

[9] Fu C, Wang H, Zhu L Y. Solving the vehicle routing problem with stochastic demands and customers, Proc 6th International Conference on Parallel and Distributed Computing, Applications and Technologies, 2005: 736-739.

DOI: 10.1109/pdcat.2005.222

Google Scholar

[10] WANG Jiangqing, KANG Lishan. A Review of the Traffic Incident Duration Prediction Methods, J. Journal of Wuhan University of Technology (Transportation Science & Engineering, 2007, 2: 46-48.

Google Scholar