Pedestrian Flow Simulation Model Based on Potential Grid and Its Application to Lane Formation Phenomenon

Authors

Le Fang, 1. Sino-French Engineering School, Beihang University, Beijing 100191, China; ;
Xuefu Jin, 1. Sino-French Engineering School, Beihang University, Beijing 100191, China; ;
Siyuan Wang, 1. Sino-French Engineering School, Beihang University, Beijing 100191, China; ;
Wang Ying, 2. Transportation Science and Engineering Department, Beihang University, Beijing 100191, China;

Abstract

Abstract: By combining macro characteristics in fluid mechanics model and micro characteristics in social force model together, and using Dijkstra algorithm to establish a potential function covering the whole field of simulation, with the guidance of Smoothed Particle Hydrodynamics, a new model was created in order to keep both macroscopic and microscopic characteristics during the process of simulation. This new model was verified by evacuation simulation in a music hall. Using this model, lane formation phenomena was reproduced. The definition of lane formation ratio makes it possible to analyze variations and causes of this typical self-organization phenomena, providing us with new tools for quantitative pedestrian simulation studies.

Recommended Citation

Fang, Le; Jin, Xuefu; Wang, Siyuan; and Ying, Wang (2020) "Pedestrian Flow Simulation Model Based on Potential Grid and Its Application to Lane Formation Phenomenon," Journal of System Simulation: Vol. 29: Iss. 4, Article 3.
DOI: 10.16182/j.issn1004731x.joss.201704003
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss4/3

First Page

714

Revised Date

2016-07-11

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201704003

Last Page

722

CLC

U121;TP391.9

Recommended Citation

Fang Le, Jin Xuefu, Wang Siyuan, Wang Ying. Pedestrian Flow Simulation Model Based on Potential Grid and Its Application to Lane Formation Phenomenon[J]. Journal of System Simulation, 2017, 29(4): 714-722.

DOI

10.16182/j.issn1004731x.joss.201704003