Real-Time Traffic Signal System Performance Measurement (Project No. 2016–14) Phase III: System Integration, Intersection Deployment, and Control Center Dashboard Development
Jin, P. J., Brennan, J. T. M., Jalayer, M., Ge, Y., Patel, D., Geng, B., Chen, A., & Ahmad, N. S. (2024). Real-Time Traffic Signal System Performance Measurement (Project No. 2016–14) Phase III: System Integration, Intersection Deployment, and Control Center Dashboard Development (Report No. FHWA NJ-2024-005). New Jersey. Department of Transportation. Bureau of Research. https://rosap.ntl.bts.gov/view/dot/84050
Jin, Peter J., Jr. Thomas M. Brennan, Mohammad Jalayer, Yi Ge, Deep Patel, Bowen Geng, Anjiang Chen, and Noshin S Ahmad. Real-Time Traffic Signal System Performance Measurement (Project No. 2016–14) Phase III: System Integration, Intersection Deployment, and Control Center Dashboard Development. Report no. FHWA NJ-2024-005. New Jersey. Department of Transportation. Bureau of Research, 2024. https://rosap.ntl.bts.gov/view/dot/84050.
Jin, Peter J., et al. Real-Time Traffic Signal System Performance Measurement (Project No. 2016–14) Phase III: System Integration, Intersection Deployment, and Control Center Dashboard Development. New Jersey. Department of Transportation. Bureau of Research, 2024, Report no. FHWA NJ-2024-005, ROSA P. https://rosap.ntl.bts.gov/view/dot/84050.
In the proposed third phase of the NJDOT Automated Traffic Signal Performance Measures (ATSPM) project, the research team 1) evaluated Roadside Unit (RSU) /Onboard Unit (OBU) data with ground truth data, 2) validated physical and virtual RSU deployment scenarios for pedestrian safety applications, 3) studied the boundary conditions of Light Detection and Ranging (LiDAR) and Closed-circuit television (CCTV) sensors for traffic and pedestrian sensing, and 4) developed a dashboard application for visualizing and Quality Assess and Quality Control (QA/QC) of the real-time traffic signal performance metrics and Connected Vehicle (CV) messages from the ATSPM and deployment sites.
Traffic signal performance measurement and visualization provide insights as operational tools to help traffic management centers get more benefits fr
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Traffic signal performance measurement and visualization provide insights as operational tools to help traffic management centers (TMC) get more payba
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Volume II provides supplementary material for Volume I. The content includes: the operational manual for ATSPM (Automated Traffic Signal Performance M
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Jin, P. J., Brennan, J. T. M., Jalayer, M., Ge, Y., Patel, D., Geng, B., Chen, A., & Ahmad, N. S. (2024). Real-Time Traffic Signal System Performance Measurement (Project No. 2016–14) Phase III: System Integration, Intersection Deployment, and Control Center Dashboard Development (Report No. FHWA NJ-2024-005). New Jersey. Department of Transportation. Bureau of Research. https://rosap.ntl.bts.gov/view/dot/84050
Jin, Peter J., Jr. Thomas M. Brennan, Mohammad Jalayer, Yi Ge, Deep Patel, Bowen Geng, Anjiang Chen, and Noshin S Ahmad. Real-Time Traffic Signal System Performance Measurement (Project No. 2016–14) Phase III: System Integration, Intersection Deployment, and Control Center Dashboard Development. Report no. FHWA NJ-2024-005. New Jersey. Department of Transportation. Bureau of Research, 2024. https://rosap.ntl.bts.gov/view/dot/84050.
Jin, Peter J., et al. Real-Time Traffic Signal System Performance Measurement (Project No. 2016–14) Phase III: System Integration, Intersection Deployment, and Control Center Dashboard Development. New Jersey. Department of Transportation. Bureau of Research, 2024, Report no. FHWA NJ-2024-005, ROSA P. https://rosap.ntl.bts.gov/view/dot/84050.
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ensure public access to scientific information.
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