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author:

Zhao, Y. (Zhao, Y..) [1] | Li, M. (Li, M..) [2] | Lu, X. (Lu, X..) [3] | Tian, L. (Tian, L..) [4] | Yu, Z. (Yu, Z..) [5] | Huang, K. (Huang, K..) [6] | Wang, Y. (Wang, Y..) [7] | Li, T. (Li, T..) [8]

Indexed by:

Scopus

Abstract:

To improve the pedestrian outflow in panic situations by suitably placing an obstacle in front of the exit, it is vital to understand the physical mechanism behind the evacuation efficiency enhancement. In this paper, a robust differential evolution is firstly employed to optimize the geometrical parameters of different shaped obstacles in order to achieve an optimal evacuation efficiency. Moreover, it is found that all the geometrical parameters of obstacles could markedly influence the evacuation efficiency of pedestrians, and the best way for achieving an optimal pedestrian outflow is to slightly shift the obstacle from the center of the exit which is consistent with findings of extant literature. Most importantly, by analyzing the profiles of density, velocity and specific flow, as well as the spatial distribution of crowd pressure, we have proven that placing an obstacle in panic situations does not reduce or absorb the pressure in the region of exit, on the contrary, promotes the pressure to a much higher level, hence the physical mechanism behind the evacuation efficiency enhancement is not a pressure decrease in the region of exit, but a significant reduction of high density region by effective separation in space which finally causes the increasing of escape speed and evacuation outflow. Finally, it is clearly demonstrated that the panel-like obstacle is considerably more robust and stable than the pillar-like obstacle to guarantee the enhancement of evacuation efficiency under different initial pedestrian distributions, different initial crowd densities as well as different desired velocities. © 2016 Elsevier B.V.

Keyword:

Crowd pressure; Differential evolution; Obstacle optimization; Panic evacuation; Pedestrian outflow; Social force model

Community:

  • [ 1 ] [Zhao, Y.]School of Economics and Management, Fuzhou University, Fuzhou, 350108, China
  • [ 2 ] [Zhao, Y.]Department of Civil and Environmental Engineering, University of California, Davis, CA 95616, United States
  • [ 3 ] [Li, M.]School of Economics and Management, Fuzhou University, Fuzhou, 350108, China
  • [ 4 ] [Lu, X.]College of Information System and Management, National University of Defense Technology, Changsha, 410073, China
  • [ 5 ] [Tian, L.]School of Economics and Management, Fuzhou University, Fuzhou, 350108, China
  • [ 6 ] [Yu, Z.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, 350108, China
  • [ 7 ] [Huang, K.]School of Economics and Management, Fuzhou University, Fuzhou, 350108, China
  • [ 8 ] [Wang, Y.]School of Economics and Management, Fuzhou University, Fuzhou, 350108, China
  • [ 9 ] [Li, T.]School of Economics and Management, Fuzhou University, Fuzhou, 350108, China

Reprint 's Address:

  • [Li, M.]School of Economics and Management, Fuzhou UniversityChina

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Source :

Physica A: Statistical Mechanics and its Applications

ISSN: 0378-4371

Year: 2017

Volume: 465

Page: 175-194

2 . 1 3 2

JCR@2017

2 . 8 0 0

JCR@2023

ESI HC Threshold:170

JCR Journal Grade:2

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 93

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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