An extended cost potential field cellular automaton model for pedestrian evacuation considering the restriction of visual field

Abstract Pedestrian dynamics with affected visual field under emergency situation is a difficult point in the simulation of pedestrian flow. In this paper, an extended cost potential field cellular automaton model is proposed to investigate the motion of pedestrians through obscure room lack of visibility (due to smoke, darkness, etc.). A novel visibility function is introduced to describe visual effect caused by poor vision, which will lead to the increasing cost of discomfort. The numerical simulations are performed to explore the effects of factors, such as psychology tension, visual radius and pedestrian density on pedestrian evacuation. It was found that evacuation time relies on visual radius and initial density. The evacuation time under affected visual field increases with the decrease of visual radius. At low density, a moderate tension degree can improve the evacuation efficiency. These findings will be helpful in pedestrian control and management under an emergency.

[1]  Serge P. Hoogendoorn,et al.  State-of-the-art crowd motion simulation models , 2013 .

[2]  Jun Zhang,et al.  k-Nearest-Neighbor interaction induced self-organized pedestrian counter flow , 2010 .

[3]  A. Schadschneider,et al.  Simulation of pedestrian dynamics using a two dimensional cellular automaton , 2001 .

[4]  Lin Luo,et al.  Update schemes of multi-velocity floor field cellular automaton for pedestrian dynamics , 2018 .

[5]  Roger L. Hughes,et al.  A continuum theory for the flow of pedestrians , 2002 .

[6]  Junbiao Guan,et al.  A cellular automaton model for evacuation flow using game theory , 2016 .

[7]  T. Nagatani,et al.  Scaling behavior of crowd flow outside a hall , 2001 .

[8]  Eric Wai Ming Lee,et al.  Dual effects of guide-based guidance on pedestrian evacuation , 2017 .

[9]  Xingli Li,et al.  Analysis of pedestrian dynamics in counter flow via an extended lattice gas model. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

[10]  D. Helbing.  Traffic and related self-driven many-particle systems , 2000, cond-mat/0012229.

[11]  Fang Guo,et al.  Effect of psychological tension on pedestrian counter flow via an extended cost potential field cellular automaton model , 2017 .

[12]  Wei Lv,et al.  A multi-grid model for pedestrian evacuation in a room without visibility , 2015 .

[13]  Helbing,et al.  Social force model for pedestrian dynamics. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[14]  Andreas Schadschneider,et al.  Simulation of evacuation processes using a bionics-inspired cellular automaton model for pedestrian dynamics , 2002 .

[15]  T. Nagatani,et al.  Jamming transition in pedestrian counter flow , 1999 .

[16]  Dirk Helbing,et al.  Simulating dynamical features of escape panic , 2000, Nature.

[17]  Hongfei Jia,et al.  Simulation research on pedestrian counter flow subconscious behavior , 2017 .

[18]  S. Wong,et al.  Potential field cellular automata model for pedestrian flow. , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

[19]  Weifeng Yuan,et al.  A model for simulation of crowd behaviour in the evacuation from a smoke-filled compartment , 2011 .

[20]  T. Nagatani,et al.  Effect of exit configuration on evacuation of a room without visibility , 2004 .

[21]  Fang Guo,et al.  An extended cost potential field cellular automata model considering behavior variation of pedestrian flow , 2016 .

[22]  Claudio O. Dorso,et al.  Evacuation under limited visibility , 2015 .

[23]  D. Helbing,et al.  Lattice gas simulation of experimentally studied evacuation dynamics. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[24]  Xie Zhen-hua.  Study on Occupant Evacuation Model Considering Influence of Direction Sign , 2011 .

[25]  Denise Burgarelli,et al.  Emergency evacuation models based on cellular automata with route changes and group fields , 2017 .

[26]  Tie-Qiao Tang,et al.  An evacuation model accounting for elementary students’ individual properties , 2015 .

[27]  Sze Chun Wong,et al.  Perceived cost potential field cellular automata model with an aggregated force field for pedestrian dynamics , 2014 .

[28]  Mao-Bin Hu,et al.  Pedestrian flow dynamics in a lattice gas model coupled with an evolutionary game. , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

[29]  Liang Chen,et al.  Modeling pedestrian flow accounting for collision avoidance during evacuation , 2018, Simul. Model. Pract. Theory.

[30]  Luciano Gamberini,et al.  Exploring the Suitability of Virtual Environments for Safety Training: Signals, Norms and Ambiguity in a Simulated Emergency Escape , 2001, Cognition, Technology & Work.

[31]  Siuming Lo,et al.  A bidirectional pedestrian flow model with the effect of friction parameter , 2014 .

[32]  Chi-Wang Shu,et al.  Dynamic continuum pedestrian flow model with memory effect. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

[33]  Tobias Kretz,et al.  On Oscillations in the Social Force Model , 2015, ArXiv.

[34]  Daichi Yanagisawa,et al.  Pedestrian flow through multiple bottlenecks. , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

[35]  Rongjun Cheng,et al.  An extended continuum model accounting for the driver's timid and aggressive attributions , 2017 .

[36]  Renyong Guo.  New insights into discretization effects in cellular automata models for pedestrian evacuation , 2014 .

[37]  Hai-Jun Huang,et al.  An aircraft boarding model accounting for group behavior , 2018, Journal of Air Transport Management.

[38]  T. Nagatani,et al.  Statistical characteristics of evacuation without visibility in random walk model , 2004 .

[39]  Liang Chen,et al.  Modeling pedestrian movement at the hall of high-speed railway station during the check-in process , 2017 .

[40]  Wei Zhang,et al.  Comparison study of the reactive and predictive dynamic models for pedestrian flow , 2016 .

[41]  Serge P. Hoogendoorn,et al.  Pedestrian route-choice and activity scheduling theory and models , 2004 .

[42]  Adrian Muntean,et al.  Dynamics of pedestrians in regions with no visibility:a lattice model without exclusion , 2012, 1203.4852.

[43]  Zhang Hao,et al.  Modified two-layer social force model for emergency earthquake evacuation , 2018 .