Detecting aggressive agents in egress process by using conflict data in cellular automaton model-Reference-Cited by-同舟云学术

Detecting aggressive agents in egress process by using conflict data in cellular automaton model

Published:2021-07-08 Issue:6 Volume:25 Page:626-643
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

Yanagisawa Daichi¹²³^ORCID,Yamazaki Keisuke⁴^ORCID

Affiliation:

1. Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan

2. Department of Aeronautics and Astronautics, School of Engineering, The University of Tokyo, Tokyo, Japan

3. Mobility Innovation Collaborative Research Organization, The University of Tokyo, Chiba, Japan

4. The Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Tokyo, Japan

Funder

JSPS KAKENHI

MEXT

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computer Science Applications,Aerospace Engineering,Automotive Engineering,Information Systems,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15472450.2021.1942869

Reference31 articles.

1. Optimization based controlled evacuation

2. A novel framework for automated monitoring and analysis of high density pedestrian flow

3. Individual Microscopic Results of Bottleneck Experiments

4. Simulation of pedestrian dynamics using a two-dimensional cellular automaton

5. Experimental Research of Pedestrian Walking Behavior

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