PIECEWISE FUNCTION FEEDBACK STRATEGY IN INTELLIGENT TRAFFIC SYSTEMS WITH A SPEED LIMIT BOTTLENECK

Bokui Chen (), Xiaoyan Sun, Hua Wei, Chuanfei Dong and Binghong Wang
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Bokui Chen: Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
Xiaoyan Sun: College of Physics and Electronic Engineering, Nanning Normal University, Nanning 530001, China
Hua Wei: Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
Chuanfei Dong: Department of Atmospheric, Oceanic and Space Sciences, University of Michigan, Ann Arbor, MI 48109, USA
Binghong Wang: Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China;

International Journal of Modern Physics C (IJMPC), 2011, vol. 22, issue 08, 849-860

Abstract: The road capacity can be greatly improved if an appropriate and effective information feedback strategy is adopted in the traffic system. In this paper, a strategy called piecewise function feedback strategy (PFFS) is introduced and applied into an asymmetrical two-route scenario with a speed limit bottleneck in which the dynamic information can be generated and displayed on the information board to guide road users to make a choice. Meanwhile, the velocity-dependent randomization (VDR) mechanism is adopted which can better reflect the dynamic behavior of vehicles in the system than NS mechanism. Simulation results adopting PFFS have demonstrated high efficiency in controlling spatial distribution of traffic patterns compared with the previous strategies.

Keywords: Information feedback strategy; VDR mechanism; two-route scenario; intelligent traffic systems; 89.40.Bb; 89.20.-a; 02.60.Cb (search for similar items in EconPapers)
Date: 2011
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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DOI: 10.1142/S0129183111016658

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