Development Of Automated Roadway Lighting Diagnosis Tools For Nighttime Traffic Safety Improvement, Phase II

Project ID: CTEDD 021-05

Author(s): Zhenyu Wang, University of South Florida

Co-Author(s): Pei-Sung Lin, University of South Florida; Srinivas Katkoori, University of South Florida

CTEDD Funding Year: 2021 General RFP

Project Status: Complete


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.