Development of Automated Roadway Lighting Diagnosis Tools for Nighttime Traffic Safety Improvement, Phase II
Roadway lighting is roadway infrastructure used to ensure nighttime safety and security for multimodal road users. Key tasks in nighttime safety management include periodically measuring roadway lighting levels, diagnosing lighting performance and safety impacts, and providing decision-making support for lighting maintenance and upgrade. This project aims to enhance the Automated Roadway Lighting Diagnosis Tools developed in a previous CTEDD project (Phase I), including developing and integrating safety/lighting analysis methods for pedestrians/bicyclists and light-emitting diode (LED) bulbs, enhancing roadway lighting diagnosis algorithms, analyzing economic appraisals, and improving user interface and processing speed. The enhanced computer tools, which are expected to reach Technology Readiness Level 8: Technology Proven in Operational Environment, will be implemented in Florida Department of Transportation (FDOT) District 7 lighting measurement projects. This project will support multi-disciplinary collaboration for faculty and students in transportation engineering, computer science, and electrical engineering. The collaboration will also involve two stakeholders, including a government agency (FDOT District 7) and a private sector firm (Johnson, Mirmiran & Thompson, Inc. [JMT]), which will provide support and assistance for data collection, system design, diagnosis evaluation, and technology transfer. A comprehensive technology transfer plan will be developed after the research, including implementation of the developed methods and tools in lighting measurement projects in collaboration with stakeholders, presentations and publications, open source codes provided to the public, integration of research materials into coursework, and workshops for the Florida Local Technical Assistance Program (LTAP). Through technology transfer, the project results will be beneficial to roadway lighting and safety managers for infrastructure performance monitoring and maintenance. The open algorithms and source codes also will be beneficial to researchers and practitioners for future research and practice.
Language
- English
Project
- Status: Active
- Funding: $104616
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Contract Numbers:
69A3551747134
CTEDD 021-05
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Sponsor Organizations:
Center for Transportation Equity, Decisions & Dollars (CTEDD)
University of Texas at Arlington
Arlington, TX United States 76019University of Texas at Arlington
Box 19308
Arlington, TX United States 76019-0308Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
Center for Transportation Equity, Decisions & Dollars (CTEDD)
University of Texas at Arlington
Arlington, TX United States 76019University of Texas at Arlington
Box 19308
Arlington, TX United States 76019-0308 -
Performing Organizations:
University of South Florida, Tampa
Center for Urban Transportation Research
3650 Spectrum Boulevard
Tampa, FL United States 33612-9446 -
Principal Investigators:
Wang, Zhenyu
Lin, Pei-Sung
Katkoori, Srinivas
- Start Date: 20210101
- Expected Completion Date: 20220531
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
Subject/Index Terms
- TRT Terms: Automation; Computer science; Cyclists; Electrical engineering; Light emitting diodes; Maintenance; Monitoring; Night; Pedestrian safety; Street lighting; Technology transfer; Traffic safety; Transportation engineering
- Identifier Terms: Automated Road Transport Systems (ARTS); Florida Department of Transportation
- Subject Areas: Data and Information Technology; Highways; Maintenance and Preservation; Operations and Traffic Management; Safety and Human Factors;
Filing Info
- Accession Number: 01759649
- Record Type: Research project
- Source Agency: Center for Transportation Equity, Decisions & Dollars (CTEDD)
- Contract Numbers: 69A3551747134, CTEDD 021-05
- Files: UTC, RIP
- Created Date: Dec 5 2020 6:29PM