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Title:

Analyzing the Shockwaves Phenomenon of Pedestrian Flow at Bottleneck Using DTW Approach

Accession Number:

01629751

Record Type:

Component

Abstract:

The railway station, which plays an important role in transiting passengers, is experiencing high levels of pedestrian congestion especially during the peak periods at bottleneck. Since the available data on the quantitative analysis of the high-density pedestrian shockwaves at the bottleneck are limited, this paper proposes a Dynamic Time Warping (DTW) algorithm for identifying, analyzing and verifying the shockwaves. Results show that the DTW algorithm more elaborately and accurately depicts the pedestrian shockwaves than the fluid dynamic theory algorithm does. The DTW algorithm provides an innovative method to calculate the shockwave velocity conveniently. Moreover, the results show that the shockwave velocity is unsteady, the gathering wave velocity and the evanescent wave velocity are decreased and increased, respectively, throughout time. The mutual influence between followers and leaders is decreased as the shockwave spreads. There is a linear relationship between the shockwave velocity and the density. Additionally, singularities present an interesting match solution set to help potentially to identify the changing pedestrian behavior. This study benefits to enrich the shockwaves of pedestrian characteristics system.

Supplemental Notes:

This paper was sponsored by TRB committee AP065 Standing Committee on Rail Transit Systems.

Monograph Accession #:

01618707

Report/Paper Numbers:

17-04470

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Sun, Lishan
Gong, QingSheng
Yao, Liya
Luo, Wei
Zhang, Tianqi

Pagination:

16p

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; Photos; References; Tables

Subject Areas:

Operations and Traffic Management; Pedestrians and Bicyclists; Railroads

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-04470

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 11:43AM