This paper presents two algorithms to estimate traffic state in urban street networks with a
mixed traffic stream of connected and unconnected vehicles and incorporates them in a real …

This study presents a vehicle-level distributed coordination strategy to control a mixed traffic
stream of connected automated vehicles (CAVs) and connected human-driven vehicles …

This paper develops a decentralized reinforcement learning (RL) scheme for multi-
intersection adaptive traffic signal control (TSC), called “CVLight”, that leverages data …

This paper presents an integrated formulation and a distributed solution technique for
cooperative signal control and perimeter traffic metering in urban street networks with …

This paper formulates a cooperative traffic control methodology that integrates traffic signal
timing and ramp metering decisions into an optimization model to improve traffic operations …

Proper metering can improve traffic operations in congested urban street networks. The
available approaches either (a) use macroscopic fundamental diagrams to model traffic …

Traffic metering offers great potential for reducing congestion in oversaturated urban street
networks. The available metering approaches rely on aggregated traffic flow dynamics to …

ACKNOWLEDGMENT First, I would like to thank my advisor, Dr. Ali Hajbabaie, for his
continuous instruction, support, and guidance through my Master study. He provided …

Abstract The emergence of Connected Vehicles (CVs) and Connected Automated Vehicles
(CAVs) offers great potentials to revolutionize traffic control systems. This research presents …

In this project, we developed an efficient distributed yet coordinated algorithm to control
signalized intersections in connected and semi-connected corridors. The research …