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Title:

Risk Evaluation of Conflicts Between Crossing Pedestrians and Right-turning Vehicles at Intersections

Accession Number:

01590691

Record Type:

Component

Abstract:

In recent years, the conflicts between crossing pedestrians and right-turning vehicles become more serious at the intersections in China where right-turning vehicles are usually not controlled by the traffic signals. Pedestrian safety problem is increasingly prominent, but the studies of it are still limited. The paper proposes a quantitative analysis method to evaluate conflict risk between pedestrians and right-turning vehicles at the intersections based on micro-level behavioral data from field surveys and video recording. A typical intersection is chosen in Shanghai as the study case. Counts were conducted during the peak hours from 7:30 AM to 9:30 PM and a total of 670 minutes of video are recorded. By processing video information, comprehensive and accurate vehicle and pedestrian track data, including velocity, acceleration, deceleration, time and location coordinates are obtained. Based on these data, the study gives the calculation method of several conflict indicators and extracts these indicators automatically through Matlab to identify a pedestrian-right turning vehicle conflict and evaluate the severity of identified conflicts. As a result, 93 conflict samples were identified and quantitative classification of conflict risks are realized by using the K-means fuzzy clustering method. The study further analyses the characteristics of conflict distribution on the crosswalk and severity of different kinds of conflicts, concluding that conflicts in different areas on the crosswalk present a distinct severity and all conflicts are divided into five grades according to the severity. Finally, the study proposes practical advice to reduce the risk of conflicts between pedestrians and right-turning vehicles.

Supplemental Notes:

This paper was sponsored by TRB committee ANF10 Standing Committee on Pedestrians.

Monograph Accession #:

01584066

Report/Paper Numbers:

16-4602

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Xin, Feifei
Sun, Chongjing
Wang, Xiaobo

Pagination:

17p

Publication Date:

2016

Conference:

Transportation Research Board 95th Annual Meeting

Location: Washington DC, United States
Date: 2016-1-10 to 2016-1-14
Sponsors: Transportation Research Board

Media Type:

Web

Features:

Figures; References (26) ; Tables

Geographic Terms:

Shanghai (China)

Subject Areas:

Highways; Pedestrians and Bicyclists; Safety and Human Factors; I82: Accidents and Transport Infrastructure; I83: Accidents and the Human Factor

Source Data:

Transportation Research Board Annual Meeting 2016 Paper #16-4602

Files:

TRIS, TRB, ATRI

Created Date:

Jan 12 2016 6:02PM