Intelligent Decision-Making Methods for Autonomous Highway Driving

Abstract

Autonomous driving technology holds the promise of transforming transportation by enhancing road safety, reducing congestion, and improving mobility. However, achieving reliable and safe autonomous highway driving presents unresolved challenges, including accurately predicting the intentions of surrounding vehicles, making decisions under uncertainty, interpreting the rationale behind those decisions, and achieving human-like driving behaviour. Addressing these issues is crucial for the seamless integration of autonomous vehicles (AVs) into real-world traffic.