Literature DB >> 11189127

The effect of ice warning signs on ice-accident frequencies and severities.

J Carson1, F Mannering.   

Abstract

Signing of non-permanent road surface conditions, such as ice, is difficult because hazard formation, location, and duration are unpredictable. Subsequently, many state transportation departments have begun to question the sensibility of expending material and personnel resources to maintain ice warning signs when little proof exists of their effectiveness in improving highway safety. This research statistically studies the effectiveness of ice warning signs in reducing accident frequency and accident severity in Washington State. Our findings show that the presence of ice warning signs was not a significant factor in reducing ice-accident frequency or ice-accident severity. However, we were able to identify significant spatial, temporal, traffic, roadway and accident characteristics that influenced ice-accident frequency and severity. The identification of these characteristics will allow for better placement of ice warning signs and improvements in roadway and roadside design that can reduce the frequency and severity of ice-related accidents.

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Substances:

Year:  2001        PMID: 11189127     DOI: 10.1016/s0001-4575(00)00020-8

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  6 in total

1.  Investigation of Key Factors for Accident Severity at Railroad Grade Crossings by Using a Logit Model.

Authors:  Shou-Ren Hu; Chin-Shang Li; Chi-Kang Lee
Journal:  Saf Sci       Date:  2010-02-01       Impact factor: 4.877

2.  Smart roadside system for driver assistance and safety warnings: framework and applications.

Authors:  Jeong Ah Jang; Hyun Suk Kim; Han Byeog Cho
Journal:  Sensors (Basel)       Date:  2011-07-25       Impact factor: 3.576

3.  Crash Frequency Modeling Using Real-Time Environmental and Traffic Data and Unbalanced Panel Data Models.

Authors:  Feng Chen; Suren Chen; Xiaoxiang Ma
Journal:  Int J Environ Res Public Health       Date:  2016-06-18       Impact factor: 3.390

4.  Crash Frequency Analysis Using Hurdle Models with Random Effects Considering Short-Term Panel Data.

Authors:  Feng Chen; Xiaoxiang Ma; Suren Chen; Lin Yang
Journal:  Int J Environ Res Public Health       Date:  2016-10-26       Impact factor: 3.390

5.  A Heckman selection model for the safety analysis of signalized intersections.

Authors:  Xuecai Xu; S C Wong; Feng Zhu; Xin Pei; Helai Huang; Youjun Liu
Journal:  PLoS One       Date:  2017-07-21       Impact factor: 3.240

6.  Improvements of Warning Signs for Black Ice Based on Driving Simulator Experiments.

Authors:  Ghangshin Lee; Sooncheon Hwang; Dongmin Lee
Journal:  Int J Environ Res Public Health       Date:  2022-06-20       Impact factor: 4.614

  6 in total

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