Targeted Warning Messages to Protect Moving and Stationary Maintenance Lane Closures

Soltani, Iman; Gao, Dechen; Shi, Debo; Ghafourian, Amin; Kazemi, Ehsan; Yen, Kin; University of California, Davis. Dept. of Mechanical and Aeronautical Engineering. AHMCT 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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Targeted Warning Messages to Protect Moving and Stationary Maintenance Lane Closures

2024-03-31
By Soltani, Iman ; Gao, Dechen ; Shi, Debo ; ...

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English

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Details:

Creators:

Soltani, Iman ; Gao, Dechen ; Shi, Debo ; Ghafourian, Amin ; Kazemi, Ehsan ; ... More +

Soltani, Iman ; Gao, Dechen ; Shi, Debo ; Ghafourian, Amin ; Kazemi, Ehsan ; Yen, Kin Less -
Corporate Creators:

University of California, Davis. Dept. of Mechanical and Aeronautical Engineering. AHMCT Center
Corporate Contributors:

California. Department of Transportation. Department of Research, Innovation and Systems Information
Subject/TRT Terms:

[+]

Lane Closure Maintenance Occupational Safety Safety Targeted Warning Message System Variable Message Signs Vehicle Make/Model Recognition Vehicles Work Zones
Publication/ Report Number:

CA24-3919 ; UCD-MAR-24-03-31-3919

CA24-3919 ; UCD-MAR-24-03-31-3919 Less -
Resource Type:

Tech Report
Geographical Coverage:

California ; United States

California ; United States Less -
Edition:

Final Report 01/01/2022 – 03/31/2024
Corporate Publisher:

California. Department of Transportation. Department of Research, Innovation and System Information
Abstract:

This report details the development and evaluation of an innovative component in a traffic management system aimed at enhancing safety in work zones through targeted warning messages. The primary objective of the system is to improve the rates of driver compliance with work zone guidelines presented on signages and message boards, which our studies have shown to be a critical factor in ensuring worker safety near temporary lane closures. By personalizing messages for individual vehicles based on specific characteristics, such as make, model, and color, the system may increase the likelihood of driver adherence to safe speed and driving behavior. Our research evaluated two systems: a custom artificial intelligence-based Vehicle Make and Model Recognition (VMMR) system and a commercial off-the-shelf solution. Both systems underwent extensive field testing, demonstrating promising results in vehicle detection and VMMR accuracy. Based on our findings, we recommend that Caltrans adopt the commercial off-the-shelf camera system for its comprehensive capabilities and support. Additionally, we suggest strategic placement of the camera and message board further from the lane closure, allowing drivers ample time to respond to the targeted warnings, thereby enhancing overall safety and traffic flow.
Format:

PDF
Funding:

65A0749 Task 3919
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha-512:e90b1c19bee089c57b89584201312a54ec83889fd7fff2bd4732c96171f336bcf8ee3fe2259a8fba8c2e57e5bd0f375b325c60234a719317f7216f64f484f28a
Download URL:

https://rosap.ntl.bts.gov/view/dot/79209/dot_79209_DS1.pdf
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Targeted Warning Messages to Protect Moving and Stationary Maintenance Lane Closures

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