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Title:

A Novel Approach for Diagnosing Cycling Safety Issues using Automated Computer Vision Techniques

Accession Number:

01472427

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

The use of traffic conflicts for safety diagnosis has been gaining acceptance as a surrogate for collision data analysis as they provide insight into the failure mechanism that leads to road collisions. This paper demonstrates an automated proactive safety diagnosis approach for vehicles-cycling interactions using video-based computer vision techniques. Traffic conflicts are automatically detected and conflict indicators such as Time to collision (TTC) are calculated based on the analysis of the road-user positions in space and time. Additionally, non-conformance of vehicles to travel regulations; specified as failure to respect yielding signage at the intersection are identified. The procedure is applied for the safety analysis of a newly installed bike lane at the southern approach of a major Bridge (Burrard Bridge) in Vancouver, British Columbia. The results showed a high exposure of cyclists to traffic conflicts. Rear-end and merging conflicts between vehicles at the location were also identified and analyzed. Practical solutions to address the safety issues at the location were presented. The proposed approach overcomes shortcomings with reliance on collision data and the manual observations of traffic conflicts.

Supplemental Notes:

This paper was sponsored by TRB committee ANF20 Bicycle Transportation.

Monograph Accession #:

01470560

Report/Paper Numbers:

13-0744

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Sayed, Tarek
Zaki, Mohamed H
Autey, Jarvis

Pagination:

21p

Publication Date:

2013

Conference:

Transportation Research Board 92nd Annual Meeting

Location: Washington DC, United States
Date: 2013-1-13 to 2013-1-17
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Bibliography; Figures; Tables

Subject Areas:

Highways; Pedestrians and Bicyclists; Safety and Human Factors; I81: Accident Statistics

Source Data:

Transportation Research Board Annual Meeting 2013 Paper #13-0744

Files:

TRIS, TRB, ATRI

Created Date:

Feb 5 2013 12:16PM