Simulation of vehicle interaction behavior in merging scenarios: A deep maximum entropy-inverse reinforcement learning method combined with game theory
W Li, F Qiu, L Li, Y Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Simulation testing based on virtual scenarios can improve the efficiency of safety testing for
high-level autonomous vehicles (AVs). In most traffic scenarios, such as merging scenarios …
high-level autonomous vehicles (AVs). In most traffic scenarios, such as merging scenarios …
Deep reinforcement learning for traffic light control in vehicular networks
Existing inefficient traffic light control causes numerous problems, such as long delay and
waste of energy. To improve efficiency, taking real-time traffic information as an input and …
waste of energy. To improve efficiency, taking real-time traffic information as an input and …
Modeling adaptive platoon and reservation‐based intersection control for connected and autonomous vehicles employing deep reinforcement learning
As a cutting‐edge strategy to reduce travel delay and fuel consumption, platooning of
connected and autonomous vehicles (CAVs) at signal‐free intersections has become …
connected and autonomous vehicles (CAVs) at signal‐free intersections has become …
A real-time deployable model predictive control-based cooperative platooning approach for connected and autonomous vehicles
Recently, model predictive control (MPC)-based platooning strategies have been developed
for connected and autonomous vehicles (CAVs) to enhance traffic performance by enabling …
for connected and autonomous vehicles (CAVs) to enhance traffic performance by enabling …
Cooperative traffic signal control with traffic flow prediction in multi-intersection
D Kim, O Jeong - Sensors, 2019 - mdpi.com
As traffic congestion in cities becomes serious, intelligent traffic signal control has been
actively studied. Deep Q-Network (DQN), a representative deep reinforcement learning …
actively studied. Deep Q-Network (DQN), a representative deep reinforcement learning …