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Title:

Before-After Analysis of Safety Effects of Variable Speed Limit System Using Full Bayesian Models

Accession Number:

01698130

Record Type:

Component

Abstract:

Variable speed limits (VSL) have been increasingly used to improve traffic safety on freeway mainlines. The primary objective of this study was to evaluate the safety impacts of the VSL system implemented on Interstate 5 in Seattle, United States since 2010. A Full Bayesian (FB) before-after analysis was conducted based on 9,787 crashes that occurred in a 72-month study period. The analysis was conducted for all crashes, crash severity levels, crash types and crash causes. The FB before-after results implied that the total crash count was reduced by 32.3% with a standard deviation of 3.58% after the implementation of VSL system on the target freeway. The decrease in number of no injury crashes is greater than the decrease in crashes with severe injury and possible injury. The effect with respect to reducing head-on, face and leading-end crashes was with the most beneficial among all crash types, while the effect on rear-end crash was the least. The study also compared the traffic speed features in the before and after periods in order to fully evaluate the impacts of the VSL system on traffic operations. The result indicated that, the difference in speed was apparently reduced with the VSL system deployed The results of this study are particularly valuable for policy making and cost-benefit evaluation associated with VSL system implementations.

Supplemental Notes:

This paper was sponsored by TRB committee ANB20 Standing Committee on Safety Data, Analysis and Evaluation.

Report/Paper Numbers:

19-03134

Language:

English

Corporate Authors:

Transportation Research Board

Authors:

Pu, Ziyuan
Guo, Xiaoyu
Li, Zhibin
Jiang, Ying
Wang, Yinhai
Zhang, Chao

Pagination:

6p

Publication Date:

2019

Conference:

Transportation Research Board 98th Annual Meeting

Location: Washington DC, United States
Date: 2019-1-13 to 2019-1-17
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Geographic Terms:

Subject Areas:

Data and Information Technology; Highways; Safety and Human Factors

Source Data:

Transportation Research Board Annual Meeting 2019 Paper #19-03134

Files:

TRIS, TRB, ATRI

Created Date:

Dec 7 2018 9:46AM