A machine learning based study on pedestrian movement dynamics under emergency evacuation-Reference-Cited by-同舟云学术

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A machine learning based study on pedestrian movement dynamics under emergency evacuation

Published:2019-06 Issue: Volume:106 Page:163-176
ISSN:0379-7112
Container-title:Fire Safety Journal
language:en
Short-container-title:Fire Safety Journal

Author:

Wang Ke,Shi Xiupeng,Goh Algena Pei Xuan,Qian Shunzhi

Funder

NTU (Nanyang Technological University) Research Scholarship

Publisher

Elsevier BV

Subject

General Physics and Astronomy,Safety, Risk, Reliability and Quality,General Materials Science,General Chemistry

Reference52 articles.

1. Human and social behavior in computational modeling and analysis of egress;Pan;Autom. ConStruct.,2006

2. A utility threshold model of herding-panic behavior in evacuation under emergencies based on complex network theory;Wang;Simulation,2017

3. Pedestrian route-choice and activity scheduling theory and models;Hoogendoorn;Transp. Res. Part B Methodol.,2004

4. A model of the decision-making process during pre-evacuation;Lovreglio;Fire Saf. J.,2015

5. Information guiding effect of evacuation assistants in a two-channel segregation process using multi-information communication field model;Wang;Saf. Sci.,2016

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