Improving heuristics-based model to reproduce lane formation

Ning Guo, Hao-Xiang Liu (), Rui Jiang (), Bin Jia () and Mao-Bin Hu ()
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Ning Guo: School of Automotive and Transportation, Engineering Transportation Engineering, Hefei University of Technology, Hefei 230009, P. R. China
Hao-Xiang Liu: School of Automotive and Transportation, Engineering Transportation Engineering, Hefei University of Technology, Hefei 230009, P. R. China
Rui Jiang: MOE Key Laboratory for Urban Transportation, Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, P. R. China
Bin Jia: MOE Key Laboratory for Urban Transportation, Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, P. R. China
Mao-Bin Hu: School of Engineering Science, University of Science and Technology of China, Hefei 230026, P. R. China

International Journal of Modern Physics C (IJMPC), 2018, vol. 29, issue 08, 1-13

Abstract: Lane formation is an important self-organized phenomenon in bidirectional pedestrian flow. Our experiment shows that in a wide range of pedestrian density, quick lane formation can be observed in a ring corridor. It is shown that the original heuristics-based model fails to reproduce lane formation with the increase of pedestrian density. This is because a pedestrian cannot correctly evaluate the target direction, when he/she is too close to others. We propose an improved heuristics-based model, in which the objective function of the target direction has been modified. Simulation results are in agreement with experimental ones.

Keywords: Pedestrian flow; heuristics-based model; lane formation (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1142/S0129183118500699

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