Int. J. of Simulation and Process Modelling   »   2018 Vol.13, No.1

 

 

Title: Crowd evacuation simulation based on emotion contagion

 

Authors: Xuemei Du; Wu He; Yan Mao; Yunbo Rao

 

Addresses:
College of Movie and Media, Sichuan Normal University, Chengdu 610068, China; Visual Computing and Virtual Reality Key Laboratory of Sichuan Province, Sichuan Normal University, Chengdu 610068, China
College of Movie and Media, Sichuan Normal University, Chengdu 610068, China; Visual Computing and Virtual Reality Key Laboratory of Sichuan Province, Sichuan Normal University, Chengdu 610068, China
School of Economics and Management, Southwest Jiaotong University, Chengdu 610031, China
School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China

 

Abstract: Simulation study on evacuation scenarios has an important influence on public safety. Unfortunately, the traditional evacuation-drill approach for emergency situations focuses on the physiological interaction between individuals/crowds, whereas the approach ignores psychological interaction. In this paper, we present an emotion contagion model that associates components, such as physiological demand, security requirement and personality traits, with individual agents comprising a crowd, and produces emergent behaviours in the crowd as a whole. The emotion contagion model realises the interaction of physiological and psychological factors. Personality traits are associated with emotions by using the OCEAN, OCC and PAD models. To reflect the complexity of emotion contagion of crowd, we consider three processes: contagion, update, and decay. We also consider the effect of emotions on the movement. Testing results demonstrate that the proposed method is effective and realistic for simulating the movement of heterogeneous crowd in emergency situations.

 

Keywords: simulation; emergency; emotion contagion; OCEAN model; OCC model; PAD model.

 

DOI: 10.1504/IJSPM.2018.090270

 

Int. J. of Simulation and Process Modelling, 2018 Vol.13, No.1, pp.43 - 56

 

Submission date: 10 Apr 2017
Date of acceptance: 27 Jul 2017
Available online: 07 Mar 2018

 

 

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