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Title:

Study of Hazard Information Propagation on Evacuation Efficiency with a Hybrid Simulation Model

Accession Number:

01660288

Record Type:

Component

Abstract:

Emergency evacuation is a critical research area where researchers have tried to model human behavior utilizing various techniques. This work takes an approach that combines a naturalistic movement model with a Markovian decision model. The herding effect that occurs in a crowd is incorporated through a spatial bounded opinion sharing framework. The effect of blocked pathways (hazards) and herding on the evacuation dynamics were investigated. The availability of information about the blocked pathways and its propagation through the crowd through herding were studied in detail. The authors discovered, for the given building geometry, it is beneficial for the crowd to help propagate the information faster. Additionally, if there was no prior information available to the crowd, then the position of the hazard determines whether herding is helpful or detrimental to the evacuation process.

Supplemental Notes:

This paper was sponsored by TRB committee AHB45 Standing Committee on Traffic Flow Theory and Characteristics.

Report/Paper Numbers:

18-04558

Language:

English

Authors:

Srinivasan, Aravinda Ramakrishnan
Chakraborty, Subhadeep

Pagination:

7p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References

Subject Areas:

Data and Information Technology; Operations and Traffic Management; Safety and Human Factors; Security and Emergencies; Transportation (General)

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-04558

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 11:06AM