For a foreseeable future, autonomous vehicles (AVs) will operate in traffic together with
human-driven vehicles. Their planning and control systems need extensive testing …

Connected and automated vehicles (CAVs) and their advanced control systems have the
ability to improve energy efficiency and mobility of the transportation system, but hundred …

Overtaking on two-lane two-way (TLTW) highways is often associated with a high risk of
crashing. However, existing models of TLTW overtaking decision, either mechanism-or …

This paper presents a decision process model for real-time automated lane change and
speed management in highway traffic. The presented algorithm is developed based on level …

We present a novel method for handling uncertainty about the intentions of non-ego players
in trajectory games, with application to motion planning for autonomous vehicles. Our …

Left turning for autonomous vehicles at intersections is challenging due to the various
driving behaviors from different human drivers and the strong interaction between the …

Autonomous driving holds promise for increased safety, optimized traffic management, and
a new level of convenience in transportation. While model-based reinforcement learning …

This paper focuses on the development of a trajectory planning method for connected and
automated vehicles (CAVs) that takes into account the interactive nature of the vehicles. The …

A Stackelberg differential game theoretic model predictive controller is proposed for an
autonomous highway driving problem. The hierarchical controller's high-level component is …

This paper proposes a novel game-theoretic decision-making algorithm for safe maneuver
planning in highway driving. The problem is formulated as a two-player extensive-form …