The Study of Following Behavior to Bi-direction Pedestrian Flow with the Dynamic Preconscious Effect


Share / Export Citation / Email / Print / Text size:

International Journal of Advanced Network, Monitoring and Controls

Xi'an Technological University

Subject: Computer Science, Software Engineering


eISSN: 2470-8038





Volume / Issue / page

Related articles

VOLUME 2 , ISSUE 3 (September 2017) > List of articles

The Study of Following Behavior to Bi-direction Pedestrian Flow with the Dynamic Preconscious Effect

Xin Tang / Xueyu Zhao / Lin Pan / Jiying Wang / Yi Yang

Keywords : bi-direction pedestrian, dynamic preconscious effect, following behavior, lattice gas model, probability distribution

Citation Information : International Journal of Advanced Network, Monitoring and Controls. Volume 2, Issue 3, Pages 109-115, DOI:

License : (CC BY-NC-ND 4.0)

Published Online: 12-April-2018



In view of the preconscious behavior of pedestrian and walking speed differences, a lattice gas model of bi-direction pedestrian flow is established in this paper. According to the characteristics of pedestrian following behavior and preconscious dynamic change in different walking conditions, bi-direction pedestrian behavior model based on dynamic preconsciousness is constructed to study the bias decision-making behavior of pedestrian movement. Through numerical simulation, the influence of regional size, asymmetry and speed deviation on the Bi-direction pedestrian flow is analyzed. Results indicate that dynamic preconscious behavior enhances the stability of the system and reduces pedestrian congestion. The passing behavior of the high-speed pedestrian is the main cause for the congestion in the situation of high density. The speed difference will largely influence the anti-congestion ability of the system, so keeping the unity of the speed and group order would maintain the stability and the anti-congestion ability of the system for the whole system.

Content not available PDF Share



Henderson L.F., The statistics of crowd fluids[J], Nature, 1971, 229(5): 381-383.


Hughes R.L., A continuum theory for the flow of pedestrians[J], Transportation Research Part B, 2002, 36(6): 507-535.


Hoogendoorn S.P. and Bovy P.H.L., Dynamic user-optimal assignment in continuous time and space[J], Transportation Research Part B, 2004, 38(7): 571-592.


Hoogendoorn S.P. and Bovy P.H.L., Pedestrian route-choice and activity scheduling theory and models[J], Transportation Research Part B, 2004, 38(2): 169-190.


Huang L., Xia Y., Wong S., Shu C., Zhang M. and Lam W., Dynamic continuum model for bi-directional pedestrian flows[J], Engineering and Computational Mechanics, 2009,162(3): 67-75.


Huang L., Wong S.C., Zhang M.P., Shu C.W. and Lam W.H.K., Revisiting Hughes' dynamic continuum model for pedestrian flow and the development of an efficient solution algorithm[J], Transportation Research Part B, 2009, 43(1): 127-141.


Xia Y.H., Wong S.C. and Shu C.W., Dynamic continuum pedestrian flow model with memory effect[J], Physical Review E, 2009, 79(6): 066113.


Yanqun Jiang,S.C. Wong,Peng Zhang,Ruxun Liu,Yali Duan,Keechoo Choi. Numerical simulation of a continuum model for bi-directional pedestrian flow[J]. Applied Mathematics and Computation. 2011 (10) :136-157.


Jiang Y.Q., Zhang P., Wong S.C. and Liu R.X., A higher-order macroscopic model for pedestrian flows[J], Physica A, 2010, 389(3): 4623-4635.


Lv W, Fang Z, Wei X, et al. Experiment and Modelling for Pedestrian Following Behavior Using Velocity-headway Relation[J]. Procedia Engineering, 2013,62:525-531.


Hoogendoorn S P, van Wageningen-Kessels F L M, Daamen W, et al. Continuum modelling of pedestrian flows: From microscopic principles to self-organised macroscopic phenomena[J]. Physica A: Statistical Mechanics and its Applications, 2014,416:684-694.


Hänseler F S, Bierlaire M, Farooq B, et al. A macroscopic loading model for time-varying pedestrian flows in public walking areas[J]. Transportation Research Part B: Methodological, 2014,69:60-80.


Xiao Y, Gao Z, Qu Y, et al. A pedestrian flow model considering the impact of local density: Voronoi diagram based heuristics approach[J]. Transportation Research Part C: Emerging Technologies, 2016,68:566-580.


Fu L, Song W, Lv W, et al. Multi-grid simulation of counter flow pedestrian dynamics with emotion propagation[J]. Simulation Modelling Practice and Theory, 2016,60:1-14.


Weng W.G., Chen T., Yuan H.Y. and Fan W.C., Cellular automaton simulation of pedestrian counter flow with different walk velocities[J], Physical Review E, 2006, 74(3):036102.


Yang L.Z., Li J. and Liu S.B., Simulation of pedestrian counter-flow with right-moving preference[J], Physica A, 2008, 387(1): 3281-3289.


Seyfried A., Portz A. and Schadschneider A., Phase coexistence in congested states of pedestrian dynamics[C] .In: Bandini S, et al., editors. Cellular Automata, Springer-Verlag Berlin Heidelberg, 2010, 12(6): 496-505.


Muramatsu H. and Nagatani T., Jamming transition in two-dimensional pedestrian traffic [J], Physica A, 2000, 275(6): 281-291.


Muramatsu M. and Nagatani T., Jamming transition of pedestrian traffic at a crossing with open boundaries [J], Physica A, 2000, 286(5): 377-390.