Before fully autonomous driving is achieved, connected autonomous vehicles (CAVs) will operate for a certain period in mixed traffic, which includes both CAVs and human-driven vehicles (HDVs). The dynamic and interactive conditions in mixed traffic scenarios renders CAV decision making particularly challenging. This project will investigate the use of Graph Convolutional Deep Reinforcement Learning for collaborative decision making in mixed traffic.
References:
Graph Neural Networks: https://ieeexplore.ieee.org/abstract/document/9046288
Trajectory prediction with GNNs: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10143287
Graph RL for CAV decision making: https://www.mdpi.com/1424-8220/23/19/8229