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Title:

Framework for Estimating the Impact of Camera-Based Intelligent Transportation Systems (ITS) Technology on Incident Duration

Accession Number:

01657951

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/issn/03611981

Abstract:

Safety is a major motivator of intelligent transportation systems (ITS) projects, and most efforts have addressed the potential to avoid incidents. Managing and reducing the duration of incidents is another key application for ITS despite challenges in distinguishing the true versus the reported duration of an incident. This paper presents a framework for modeling the impact of camera-based (closed-circuit television or CCTV) ITS technology on incident duration including an increase in the reported duration and a reduction in the true duration. The framework is validated against a data set of 121,793 accidents in New South Wales, Australia, covering 4.5 years. The results demonstrate that the use of CCTVs for incident duration contributes a 4.5 min reduction in average duration (as earlier detection can lead to more efficient clearance) and a 9% reduction in variance in the duration (as a uniform detection method supports standardized response procedures). These impacts are only visible when the 8.5 min median detection delay (the difference between the recorded duration and the true duration) is modeled and accounted for. These results offer a quantitative support tool for decision makers wishing to assess the value of incident-detection ITS projects.

Report/Paper Numbers:

18-00545

Language:

English

Authors:

Moylan, Emily
Chand, Sai
Waller, S. Travis

Pagination:

pp 25-33

Publication Date:

2018

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Volume: 2672
Issue Number: 19
Publisher: Sage Publications, Incorporated
ISSN: 0361-1981
EISSN: 2169-4052
Serial URL: http://journals.sagepub.com/home/trr

Media Type:

Print

Features:

Figures (7) ; References (17) ; Tables (2)

Geographic Terms:

Subject Areas:

Data and Information Technology; Highways; Safety and Human Factors

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 10:09AM

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