Enhancing Traffic Control Systems to Reduce Emissions and Fuel Consumption
Brian Park (UVA) – Email: firstname.lastname@example.org
Hesham Rakha (VT) – Email: email@example.com
Montasir Abbas (VT) – Email: firstname.lastname@example.org
The tasks completed within this project will address all aspects of traffic signal timing – design, optimization, deployment, and monitoring – with a focus on the reduction of emissions and fuel consumption. The reductions will be achieved directly through the optimization of signal timing plans to minimize emissions and fuel consumption and indirectly through the improvement of emergency vehicle preemption (EVP) control by reducing travel time for the emergency vehicle and decreasing the delay for other vehicles at the intersections impacted by the EVP. Each task will be completed by a different PI, but some information will be shared among tasks. The study corridor for this project is a heavily congested 4-lane roadway in Morgantown, WV (WV-705). The traffic signals along this corridor are collecting high resolution traffic data with a system managed by Marshall University. A VISSIM simulation model of this corridor will also be utilized in this research for various tasks. Each of the tasks will be integrated through the use of the common study corridor.
Potential implementation of project outcomes
The WV-705 corridor in Morgantown, WV will be used as the study corridor. Actual data being collected by the signal system will be utilized in this research. A VISSIM simulation model exists of this same corridor, which emulates the field operation through software-in-the-loop. Modifications to existing EVP parameters and signal timing plans will be evaluated in the simulation environment. Marshall University manages this signal system, so these modifications could be deployed in the field if the simulation performance is positive.
Guidelines from the research will be published in a final report and research papers to facilitate practitioners’ use of the research outcomes.