This project will develop network-wide iVITS, leveraging team members’ current research on local and regional iVITS models and algorithms. Connected vehicle (CV) technology is taking shape with the government mandating the inclusion of vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (IVI) equipment such as the DSRC technology, in all new light weight vehicles starting from 2018. Among several benefits of CV technology are harmonized traffic flow, lower vehicular emissions, etc.. This can particularly be achieved in urban arterials by providing CV’s information on traffic signal timings so that the acceleration/decelerations can be smoother and reducing spot speeding.
In this project, the research team will propose a simulation-based approach for the evaluation of traffic control algorithms that will utilize CV technologies. Given the ongoing CV pilot deployment in NYC, the proposed project will tie in to the objectives set out to be achieved as a part of the NYC CV pilot. The City College of New York (CCNY) team will work with NYU and UW researchers to test the models and algorithms in microsimulation and hardware-in-the loop simulations on a NYC-specific network.
CCNY University Lead, C2SMART
Camille Kamga is the Principal Investigator on this project.
Affiliated Researcher, CCNY
Sandeep Mudigonda is a Co-Principal Investigator on this project.