SPEED OF LAST VEHICLE FEEDBACK STRATEGY IN INTELLIGENT TRANSPORTATION SYSTEMS

Bokui Chen (), Mengsu Chen, Ziling Zhang, Yanbo Xie and Binghong Wang
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Bokui Chen: Department of Modern Physics, University of Science and Technology of China, Hefei 230026, P. R. China
Mengsu Chen: Department of Modern Physics, University of Science and Technology of China, Hefei 230026, P. R. China
Ziling Zhang: Department of Modern Physics, University of Science and Technology of China, Hefei 230026, P. R. China
Yanbo Xie: Department of Modern Physics, University of Science and Technology of China, Hefei 230026, P. R. China
Binghong Wang: Department of Modern Physics, University of Science and Technology of China, Hefei 230026, P. R. China;

International Journal of Modern Physics C (IJMPC), 2011, vol. 22, issue 07, 745-753

Abstract: Traffic jam has become a big problem in the development of economy. How to effectively improve the road capacity is becoming the key problem in the research of traffic flow. As the core part of the next generation intelligent transportation systems, the feedback strategy has attracted much attention. In recent years, researchers have proposed many effective strategies. In this paper, a strategy called speed of last vehicle feedback strategy is introduced, and simulated in a two-route scenario with one exit. Result shows that compared with other strategies, this strategy has certain advantages on average flux — a criteria describing traffic capacity of traffic systems. More importantly, the implementation of this strategy is very simple.

Keywords: Information feedback strategy; NS model; two-route scenario; 11.25.Hf; 123.1K (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (3)

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DOI: 10.1142/S0129183111016592

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