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Title:

Computer-Vision Algorithm for Automated Data Collection on Shared Pathways

Accession Number:

01125543

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

Non-motorized transport is one of the most accessible and sustainable means of mobility. Shared pathways provide some of the highest level-of-service to cyclists and pedestrians and are important transport corridors. However, cycling and walking are two very different modes with unique characteristics. Obtaining information regarding these characteristics as well as the overall pathway mode demographics is essential to assessing and mitigating any real or perceived safety concerns that arise due to the combination of these modes. Presented here is an algorithm that obtains several shared pathway parameters automatically using computer vision techniques. This new algorithm classifies pedestrians and cyclists and calculates their positions and speeds based on real-world coordinates obtained from a perspective transform. The calibration required for the transform is very simple – only a single onsite measurement is needed. This simple algorithm allows for real-time detection and classification of moving objects. The algorithm has been implemented as part of the Pedestrian and Bicycle Tracking (PBTrack) system. This system is an extension of the Pedestrian Tracking (PedTrack) system developed at the Smart Transportation Applications and Research Laboratory (STAR Lab) of the University of Washington to greatly facilitate collection of pedestrian and cyclist information. Field experiments have been conducted to test the accuracy of the algorithm. Preliminary results are presented and analyzed for mode split and speed distributions. Though the PB-Track system detected roughly 83% of the target objects and detection error for each mode is significant, the mode split ratios attained by the system are within 2.6% of the true value. The PB-Track system has the potential to be a valuable tool for shared pathway planning and analysis.

Monograph Accession #:

01120148

Report/Paper Numbers:

09-2633

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Malinovskiy, Yegor
Wang, Yinhai

ORCID 0000-0002-4180-5628

Pagination:

16p

Publication Date:

2009

Conference:

Transportation Research Board 88th Annual Meeting

Location: Washington DC, United States
Date: 2009-1-11 to 2009-1-15
Sponsors: Transportation Research Board

Media Type:

DVD

Features:

Figures (5) ; References (13) ; Tables (1)

Subject Areas:

Pedestrians and Bicyclists; I70: Traffic and Transport

Source Data:

Transportation Research Board Annual Meeting 2009 Paper #09-2633

Files:

BTRIS, TRIS, TRB

Created Date:

Jan 30 2009 6:59PM