Towards socially responsive autonomous vehicles: A reinforcement learning framework with driving priors and coordination awareness
The advent of autonomous vehicles (AVs) alongside human-driven vehicles (HVs) has
ushered in an era of mixed traffic flow, presenting a significant challenge: the intricate …
ushered in an era of mixed traffic flow, presenting a significant challenge: the intricate …
Enhancing Social Decision-Making of Autonomous Vehicles: A Mixed-Strategy Game Approach With Interaction Orientation Identification
The integration of Autonomous Vehicles (AVs) into existing human-driven traffic systems
poses considerable challenges, especially within environments where human and machine …
poses considerable challenges, especially within environments where human and machine …
Adaptive Crash-Avoidance Predictive Control Under Multi-Vehicle Dynamic Environment for Intelligent Vehicles
Intelligent vehicles (IVs) play a pivotal role within the Intelligent Transportation System (ITS),
significantly enhancing transportation efficiency and mitigating the risks of accidents …
significantly enhancing transportation efficiency and mitigating the risks of accidents …
Delay-Aware Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise Control with Model-based Stability Enhancement
Cooperative Adaptive Cruise Control (CACC) represents a quintessential control strategy for
orchestrating vehicular platoon movement within Connected and Automated Vehicle (CAV) …
orchestrating vehicular platoon movement within Connected and Automated Vehicle (CAV) …
Evaluation of Drivers' Interaction Ability at Social Scenarios: A Process-Based Framework
Assessing drivers' interaction capabilities is crucial for understanding human driving
behavior and enhancing the interactive abilities of autonomous vehicles. In scenarios …
behavior and enhancing the interactive abilities of autonomous vehicles. In scenarios …