Route guidance strategies revisited: Comparison and evaluation in an asymmetric two-route traffic network

Zhengbing He (), Bokui Chen (), Ning Jia (), Wei Guan (), Benchuan Lin and Binghong Wang
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Zhengbing He: MOE Key Laboratory for Urban Transportation, Complex Systems Theory and Technology, Beijing Jiaotong University, P. R. China
Bokui Chen: Department of Modern Physics, University of Science and Technology of China, P. R. China;
Ning Jia: Institute of Systems Engineering, Tianjin University, P. R. China
Wei Guan: MOE Key Laboratory for Urban Transportation, Complex Systems Theory and Technology, Beijing Jiaotong University, P. R. China
Benchuan Lin: Department of Modern Physics, University of Science and Technology of China, P. R. China
Binghong Wang: Department of Modern Physics, University of Science and Technology of China, P. R. China

International Journal of Modern Physics C (IJMPC), 2014, vol. 25, issue 04, 1-11

Abstract: To alleviate traffic congestion, a variety of route guidance strategies have been proposed for intelligent transportation systems. A number of strategies are introduced and investigated on a symmetric two-route traffic network over the past decade. To evaluate the strategies in a more general scenario, this paper conducts eight prevalent strategies on an asymmetric two-route traffic network with different slowdown behaviors on alternative routes. The results show that only mean velocity feedback strategy (MVFS) is able to equalize travel time, i.e. approximate user optimality (UO); while the others fail due to incapability of establishing relations between the feedback parameters and travel time. The paper helps better understand these strategies, and suggests MVFS if the authority intends to achieve user optimality.

Keywords: Nagel–Schrekenberg model; asymmetric traffic network; route guidance strategy; intelligent transportation systems; 89.40.Bb; 89.20.-a; 02.60.Cb (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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DOI: 10.1142/S0129183114500053

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