Field Implementation and Evaluation of Low-Cost Countermeasures for Wrong-Way Driving Crashes in Alabama

Zhou, Huaguo; Xue, Chennan; Change, Qing; Song, Yukun; Zhang, Beijia; Auburn University. Highway Research Center

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ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.

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Field Implementation and Evaluation of Low-Cost Countermeasures for Wrong-Way Driving Crashes in Alabama

2020-12-01
By Zhou, Huaguo ; Xue, Chennan ; Change, Qing ; ...

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Creators:

Zhou, Huaguo ; Xue, Chennan ; Change, Qing ; Song, Yukun ; Zhang, Beijia

Zhou, Huaguo ; Xue, Chennan ; Change, Qing ; Song, Yukun ; Zhang, Beijia Less -
Corporate Creators:

Auburn University. Highway Research Center
Corporate Contributors:

Alabama. Department of Transportation
Subject/TRT Terms:

[+]

Access Control (Transportation) Before And After Studies Case Studies Countermeasures Crashes Crash Rates Divided Highways Field Studies Freeways Intelligent Transportation Systems Network Screening Tools Off-ramp Terminals Off Ramps Predictive Models Road Markings Rumble Strips Surveys Traffic Signs Truck Drivers Wrong Way Driving
Publication/ Report Number:

ALDOT 930-965
Resource Type:

Tech Report
Geographical Coverage:

Alabama ; United States

Alabama ; United States Less -
Edition:

Final Report
Corporate Publisher:

Auburn University. Highway Research Center
Abstract:

Wrong-way driving (WWD) has been identified as a critical traffic safety problem. Research efforts have been made to mitigate WWD issues in Alabama, including investigating factors contributing to WWD crashes, modeling WWD risks at interchange terminals, and developing training materials for WWD countermeasures. The Alabama Department of Transportation (ALDOT) crash database, along with the hardcopy of WWD crashes, was used to identify the crashes caused by wrong-way (WW) drivers. Based on the analysis results, factors, including time of day, driver age, driver condition, driver residency distance, vehicle age, and roadway conditions, were found to contribute to WWD crashes. A follow-up study funded by ALDOT developed the predictive models to quantify the risk of WWD at freeway off-ramp terminals (Zhou and Atiquzzaman 2019). Mathematical models and network screening tools were developed for full diamond and partial cloverleaf (parclo) interchanges for state transportation agencies to identify high-risk locations for improvement to deter WWD incidents. Training materials on WWD contributing factors and solutions were developed for ALDOT to train state and local agencies on guidelines for reducing WWD on freeways. Two pilot trainings were conducted in Montgomery, AL in 2017 and 2018, respectively. Additional three local transportation assistance program (LTAP) classes were hold in Mobile, Montgomery, and Birmingham, AL, respectively, in 2019. Various Intelligent Transportation System (ITS) technologies have recently been implemented by transportation agencies to deter WWD.
Format:

PDF
Collection(s):

US Transportation Collection
Main Document Checksum:

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urn:sha256:df825c05ec97194f5b5c3a47656692dfb2e0021c3bfe7a462812914964172485
Download URL:

https://rosap.ntl.bts.gov/view/dot/56134/dot_56134_DS1.pdf
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Field Implementation and Evaluation of Low-Cost Countermeasures for Wrong-Way Driving Crashes in Alabama

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