The Trace Model: A model for simulation of the tracing process during evacuations in complex route environments

Abstract In emergency evacuations, not all pedestrians know the destination or the routes to the destination, especially when the route is complex. Many pedestrians follow a leader or leaders during an evacuation. A Trace Model was proposed to simulate such tracing processes, including (1) a Dynamic Douglas–Peucker algorithm to extract global key nodes from dynamically partial routes, (2) a key node complementation rule to address the issue in which the Dynamic Douglas–Peucker algorithm does not work for an extended time when the route is straight and long, and (3) a modification to a follower’s impatience factor, which is associated with the distance from the leader. The tracing process of pupils following their teachers in a primary school during an evacuation was simulated. The virtual process was shown to be reasonable both in the indoor classroom and on the outdoor campus along complex routes. The statistical data obtained in the simulation were also studied. The results show that the Trace Model can extract relatively global key nodes from dynamically partial routes that are very similar to the results obtained by the classical Douglas–Peucker algorithm based on whole routes, and the data redundancy is effectively reduced. The results also show that the Trace Model is adaptive to the motions between followers and leaders, which demonstrates that the Trace Model is applicable for the tracing process in complex routes and is an improvement on the classical Douglas–Peucker algorithm and the social force model.

[1]  Nirajan Shiwakoti,et al.  Examining influence of merging architectural features on pedestrian crowd movement , 2015 .

[2]  Xiaoping Zheng,et al.  Simulation of evacuation processes in a square with a partition wall using a cellular automaton model for pedestrian dynamics , 2010 .

[3]  Vi Ha,et al.  Agent-based modeling of a multi-room multi-floor building emergency evacuation , 2012 .

[4]  Edsger W. Dijkstra,et al.  A note on two problems in connexion with graphs , 1959, Numerische Mathematik.

[5]  Charitha Dias,et al.  Examining the Impact of Different Turning Angles on the Collective Egress of Crowds , 2014 .

[6]  David H. Douglas,et al.  ALGORITHMS FOR THE REDUCTION OF THE NUMBER OF POINTS REQUIRED TO REPRESENT A DIGITIZED LINE OR ITS CARICATURE , 1973 .

[7]  R. Alizadeh,et al.  A dynamic cellular automaton model for evacuation process with obstacles , 2011 .

[8]  Weifeng Yuan,et al.  Cellular automata model for simulation of effect of guiders and visibility range , 2009 .

[9]  Jianhua Gong,et al.  Simulation and analysis of individual trampling risk during escalator transfers , 2014 .

[10]  Tao Chen,et al.  Lattice gas simulation and experiment study of evacuation dynamics , 2008 .

[11]  T. Vicsek,et al.  Simulation of pedestrian crowds in normal and evacuation situations , 2002 .

[12]  Bing-Hong Wang,et al.  A social force evacuation model with the leadership effect , 2014 .

[13]  Charitha Dias,et al.  Investigating Collective Escape Behaviours in Complex Situations , 2013 .

[14]  Qi Zhang,et al.  Simulation model of bi-directional pedestrian considering potential effect ahead and behind , 2015 .

[15]  Norman I. Badler,et al.  Modeling Crowd and Trained Leader Behavior during Building Evacuation , 2006, IEEE Computer Graphics and Applications.

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

[17]  Xiwei Guo,et al.  A heterogeneous lattice gas model for simulating pedestrian evacuation , 2012 .

[18]  Hai-Jun Huang,et al.  A mobile lattice gas model for simulating pedestrian evacuation , 2008 .

[19]  Bing-Hong Wang,et al.  The escape of pedestrians with view radius , 2013 .

[20]  Lubos Buzna,et al.  Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions , 2005, Transp. Sci..

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

[22]  Hairong Dong,et al.  Guided crowd dynamics via modified social force model , 2014 .

[23]  Shiwei Li,et al.  Simulation of Bi-direction Pedestrian Movement in Corridor Based on Crowd Space☆ , 2014 .