Effect of density feedback on the two-route traffic scenario with bottleneck

Xiao-Yan Sun, Zhong-Jun Ding () and Guo-Hua Huang
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Xiao-Yan Sun: School of Systems Science, Beijing Normal University, Beijing 100875, China2College of Physics and Electronic Engineering, Guangxi Teachers Education University, Nanning 530023, China
Zhong-Jun Ding: School of Transportation Engineering, Hefei University of Technology, Hefei 230009, China
Guo-Hua Huang: College of Physics and Electronic Engineering, Guangxi Teachers Education University, Nanning 530023, China

International Journal of Modern Physics C (IJMPC), 2016, vol. 27, issue 06, 1-12

Abstract: In this paper, we investigate the effect of density feedback on the two-route scenario with a bottleneck. The simulation and theory analysis shows that there exist two critical vehicle entry probabilities αc1 and αc2. When vehicle entry probability α≤αc1, four different states, i.e. free flow state, transition state, maximum current state and congestion state are identified in the system, which correspond to three critical reference densities. However, in the interval αc1<α<αc2, the free flow and transition state disappear, and there is only congestion state when α≥αc2. According to the results, traffic control center can adjust the reference density so that the system is in maximum current state. In this case, the capacity of the traffic system reaches maximum so that drivers can make full use of the roads. We hope that the study results can provide good advice for alleviating traffic jam and be useful to traffic control center for designing advanced traveller information systems.

Keywords: Density feedback; traffic flow; bottleneck (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1142/S0129183116500583

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