EFFECT OF SLOPES IN HIGHWAY ON TRAFFIC FLOW

Shiyong Lan (), Yiguang Liu, Bingbing Liu, Peng Sheng, Tao Wang and Xinsheng Li
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Shiyong Lan: Institute of Image and Graphics, Key Laboratory of Fundamental Synthetic Vision Graphics and Image Science for National Defense, Sichuan University, Chengdu 610064, China;
Yiguang Liu: Institute of Image and Graphics, Key Laboratory of Fundamental Synthetic Vision Graphics and Image Science for National Defense, Sichuan University, Chengdu 610064, China;
Bingbing Liu: Data Storage Institute, A*STAR, Singapore 138632, Singapore
Peng Sheng: Institute of Image and Graphics, Key Laboratory of Fundamental Synthetic Vision Graphics and Image Science for National Defense, Sichuan University, Chengdu 610064, China;
Tao Wang: Institute of Image and Graphics, Key Laboratory of Fundamental Synthetic Vision Graphics and Image Science for National Defense, Sichuan University, Chengdu 610064, China;
Xinsheng Li: Institute of Image and Graphics, Key Laboratory of Fundamental Synthetic Vision Graphics and Image Science for National Defense, Sichuan University, Chengdu 610064, China;

International Journal of Modern Physics C (IJMPC), 2011, vol. 22, issue 04, 319-331

Abstract: In this paper, we propose a novel slope cellular automaton (CA) model to depict some physical properties of traffic flow with slopes. In our model, we present the effect of slopes on the acceleration/deceleration capabilities and safety distance of the vehicles in highways as in real traffic situations. By numerical simulations, we investigate the dependence of the vehicle capacities in highways on the length and grade of slopes. It is shown that the larger the slope grade, the more significant the effect of slopes on the traffic flow is. Especially when the slope grade is beyond a certain value (i.e. |σ| > 3%), the effect of slopes on traffic flow becomes quite markedly.

Keywords: Traffic flow; cellular automaton; mechanical restriction; slope; phase transition; 64.60.Cn; 02.60.Cb; 05.70.Ln; 89.40.-a (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (2)

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DOI: 10.1142/S0129183111016270

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