A two-lane cellular automaton traffic flow model with the influence of driver, vehicle and road

Han-Tao Zhao (), Cen Nie (), Jing-Ru Li () and Yu-Ao Wei ()
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Han-Tao Zhao: School of Automotive Engineering Harbin Institute of Technology Weihai 264209, Shandong, P. R. China
Cen Nie: School of Transportation Science and Engineering Harbin Institute of Technology Harbin 150090, Heilongjiang, P. R. China
Jing-Ru Li: School of Transportation Science and Engineering Harbin Institute of Technology Harbin 150090, Heilongjiang, P. R. China
Yu-Ao Wei: School of Automotive Engineering Harbin Institute of Technology Weihai 264209, Shandong, P. R. China

International Journal of Modern Physics C (IJMPC), 2016, vol. 27, issue 02, 1-3

Abstract: On the basis of one-lane comfortable driving model, this paper established a two-lane traffic cellular automata model, which improves the slow randomization effected by brake light. Considering the driver psychological characteristics and mixed traffic, we studied the lateral influence between vehicles on adjacent lanes. Through computer simulation, the space-time diagram and the fundamental figure under different conditions are obtained. The study found that aggressive driver makes a slight congestion in low-density traffic and improves the capacity of high-density traffic, when the density exceeds 20pcu/km the more aggressive drivers the greater the flow, when the density below 40pcu/km driver character makes an effect, the more cautious driver, the lower the flow. The ratio of big cars has the same effect as the ratio of aggressive drivers. Brake lights have the greatest impact on traffic flow and when the density exceeds 10pcu/km the traffic flow fluctuates. Under periodic boundary conditions, the disturbance of road length on traffic is minimal. The lateral influence only play a limited role in the medium-density conditions, and only affect the average speed of traffic at low density.

Keywords: Traffic flow; cellular automaton; driver characteristics; mixed traffic (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1142/S0129183116500182

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