Project
A Co-Simulation Study to Assess the Impacts of Connected and Autonomous Vehicles on Traffic Flow Stability during Hurricane Evacuation
The goal of this project is to assess the potential impact of Connected and Autonomous Vehicles (CAVs) on traffic flow stability during a highly congested situation (e.g., evacuation period) using a co-simulation approach. The project will develop a co-simulation framework integrating a microscopic traffic simulator and a communication simulator, develop a traffic-aware communication routing algorithm that prioritizes traffic stability, develop a Reinforcement Learning (RL)-based controller to train CAV agents to stabilize overall traffic in a highly congested condition, and assess the impact of the connectivity and the RL agent to stabilize the traffic system and reduce the number of potential collisions.
