NDLI: A Hybrid Model for Simulating Crowd Evacuation

Content Provider	Springer Nature Link
Author	Xiong, Muzhou Tang, Shanyu Zhao, Dan
Copyright Year	2013
Abstract	Macroscopic and microscopic models are typical approaches for simulating crowd behaviour and movement to simulate crowd and pedestrian movement, respectively. However, the two models are unlikely to address the issues beyond their modelling targets (i.e., pedestrian movement for microscopic models and crowd movement for macroscopic models). In order to solve such problem, we propose a hybrid model integrating macroscopic model into microscopic model, which is capable of taking into account issues both from crowd movement tendency and individual diversity to simulate crowd evacuation. In each simulation time step, the macroscopic model is executed first and generates a course-grain simulation result depicting the crowd movement, which directs microscopic model for goal selection and path planning to generate a fine-grain simulation result. In the mean time, different level-of-detail simulation results can also be obtained due to the proposed model containing two complete models. A synchronization mechanism is proposed to convey simulation results from one model to the other one. The simulation results via case study indicate the proposed model can simulate the crowd and agent behaviour in dynamic environments, and the simulation cost is proved to be efficient.
Starting Page	211
Ending Page	235
Page Count	25
File Format	PDF
ISSN	02883635
Journal	New Generation Computing
Volume Number	31
Issue Number	3
e-ISSN	18827055
Language	English
Publisher	Springer Japan
Publisher Date	2013-08-03
Publisher Place	Tokyo
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Crowd Simulation Hybrid Modelling Microscopic Model Macroscopic Model Cellular Automata Artificial Intelligence (incl. Robotics) Computer Hardware Computer Systems Organization and Communication Networks Software Engineering/Programming and Operating Systems Computing Methodologies
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Computer Networks and Communications Software Hardware and Architecture

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