United States Department of Transportation
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Real-Time Traffic Signal System Performance Measurement Phase II: Data and Functionality Enhancement, Large Scale Deployment, Connected and Autonomous Vehicles Integration
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2022-05-01
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[PDF-11.66 MB]
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Alternative Title:Real-Time Traffic Signal System Performance Measurement Phase II: Data and Functionality Enhancement, Large Scale Deployment, Connected and Autonomous Vehicles Integration: Final Report [Project Title from Cover]
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Abstract:Traffic signal performance measurement and visualization provide insights as operational tools to help traffic management centers (TMC) get more paybacks from infrastructure investment. However, evaluating and monitoring signal performance is challenging in real-time, which requires immediate data collection and analysis capability. As part of the implementation of the FHWA EDC (Every Day Counts) 2.0 toolboxes, NJDOT is working the research team consisting of Rutgers University, The College of New Jersey, and Rowan University to explore the deployment strategies and conduct pilot deployment of the Automated Traffic Signal Performance Measure (ATSPM) system with existing and planned NJDOT arterial management resources. In the second phase, the team integrated multiple sensor data sources such as Wavetronix, Autoscope computer vision sensor, and Probe travel time data to enable several critical performance metrics including PCDs (Purdue Coordination Diagrams), Link Pivot diagrams and other metrics relying on vehicle occurrence, volume, or speed data. The team also completed the full deployment of the developed ATSPM 2.0 platform on NJDOT servers. The team further initiated the pilot experiment and integration of RT-SPM (real-time traffic signal performance measure) with Connected and Automated Vehicle technologies at intersections in collaboration with NJCTII (New Jersey Connected Technology Integration and Implementation) program.
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