Improving the Quality of Traffic Records for Traffic Incident Management

Souleyrette, Reginald R.; Chen, Mei; Zhang, Xu; Green, Eric R.

doi:10.13023/ktc.rr.2018.22

i

Improving the Quality of Traffic Records for Traffic Incident Management

2018-12-01
By Souleyrette, Reginald R. ; Chen, Mei ; Zhang, Xu

File Language:

English

Details

Creators:

Souleyrette, Reginald R. ; Chen, Mei ; Zhang, Xu ; Green, Eric R.
Corporate Creators:

University of Kentucky Transportation Center
Corporate Contributors:

Kentucky Transportation Cabinet ; United States. Department of Transportation. Federal Highway Administration
Subject/TRT Terms:
Publication/ Report Number:

KTC-18-22/SPR18-567-1F
DOI:

https://doi.org/10.13023/ktc.rr.2018.22
Resource Type:

Tech Report
Geographical Coverage:

United States ; Kentucky
Corporate Publisher:

University of Kentucky Transportation Center
Abstract:

Traffic incidents in US roadways cause 25 percent of all delays experienced by users. The resulting congestion may lead to secondary crashes, increasing economic costs and further risking the lives of travelers. Traffic Incident Management is a process that detects, responds to, and clears traffic incidents as quickly as possible so that traffic flow is restored safely. This project analyzes the three TIM performance measures: Roadway Clearance Time, Incident Clearance Time and Secondary Crashes of Kentucky to identify a baseline for performance which may indicate potential for improvement. The study pinpoints different data sources, tools and technologies that can be used to collect and analyze TIM performance measures. Kentucky State Police (KSP) Crash Database and TRIMARC Incident Records are the two principal data sources used. In addition, Waze and HERE speed data are also examined for potential use. Lastly, the three national performance measures are summarized and analyzed. They comprise a baseline for future performance assessment.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/43996/dot_43996_DS1.pdf
File Type:

[PDF - 4.82 MB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha256:1de7126ab1d1a82a463624ef5b4a39a4f82a3ea1e29cfd381f38365f099d5996

File Language:

English

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