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Title:

Comparison between Lattice-Gas Model and Agent-Based Continuous Model on Modeling Bidirectional Pedestrian Flow

Accession Number:

01628152

Record Type:

Component

Abstract:

Modeling pedestrian flow dynamics under normal or emergency situations have attracted numerous attentions in the past decade. Many simulation models have been developed due to the growing potential applications on various pedestrian flow problems such as crowding control and management, building design evaluation, event planning and emergency evacuation analysis. Generally, the existing models belong to two categories, the discrete model and the continuous model. Since the underlying modeling concepts in these two types of models are different, it would be necessary and interesting to make comparisons of the performances of these models. This paper presents a comparison study between a popular grid-based discrete model, the Lattice-Gas (LG) model, and a recently developed Agent-Based (AB) continuous model. The study focuses on modeling the bidirectional pedestrian flow in long corridors. The traditional 3-neighborhood LG model was extended to 5-neighborhood to make the movement rules closer with that of the AB model. The modified LG model and the AB model were compared quantitatively and qualitatively, especially the reproducibility of typical bidirectional pedestrian flow phase transition phenomena. Simulation results show that both of the two models are capable of reproducing the typical bidirectional pedestrian flow patterns while some minor differences can also be found in terms of space usage efficiency, phase transition point and other physical flow parameters. The comparison study may help to better understand the differences between these two types of models and provide useful information for future development and usage of these models.

Supplemental Notes:

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

Monograph Accession #:

01618707

Report/Paper Numbers:

17-02872

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Liu, S B
Lo, S M
Tsui, K L
Wang, W L

Pagination:

14p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References

Uncontrolled Terms:

Agent based models; Bidirectional flow

Subject Areas:

Operations and Traffic Management; Pedestrians and Bicyclists; Planning and Forecasting

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-02872

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 11:04AM