Connected vehicles, the internet of things, and smart infrastructure technologies will facilitate the exchange of real-time, highly granular information among individual users in transportation networks, system operators, and the supporting infrastructure. Harnessing this emergent connectivity and its resulting data stream will open unexplored possibilities to improve mobility on urban street networks. Traffic metering along urban street networks is among the effective traffic control methods that can greatly benefit from connected and autonomous vehicle technologies. A dynamic traffic metering system may use collected data to maintain network accumulation at an optimal level, thereby avoiding long queues, queue spillovers, and gridlock. The goal of this project is to improve mobility by developing a dynamic traffic metering methodology for connected urban street networks. The methodology will aim to meter an optimal portion of incoming traffic at the borders of the network or inside it to increase system-level mobility.
Principal Investigator: Ali Hajbabaie, Civil and Environmental Engineering, WSU
Sponsor: PacTrans
Scheduled completion: February 2020