Autonomous vehicle (AV) is expected to reshape the future transportation system, and its
decision-making is one of the most critical modules. Many current decision-making modules …

Model-based strategies are a promising solution to the grand challenge of equipping
continuum soft robots with motor intelligence. However, finite-dimensional models of these …

Considering personalized driving preferences, a new decision-making framework is
developed using a differential game approach to resolve the driving conflicts of autonomous …

Dynamic rerouting has been touted as a solution for urban traffic congestion. However, its
implementation is stymied by the complexity of urban traffic. To address this, recent studies …

To address the coordination issue of connected automated vehicles (CAVs) at urban
scenarios, a game-theoretic decision-making framework is proposed that can advance …

Understanding the dynamic characteristics of surrounding vehicles and estimating the
potential risk of mixed traffic can help reliable autonomous driving. However, the existing risk …

Advances in vehicle-networking technologies have enabled vehicles to cooperate in mixed
traffic. However, realizing the cooperative decision-making of multiple connected …

Accurately identifying the driving threat could greatly improve the driving safety for
autonomous vehicles in the mixed traffic, where the human-driven and driverless, as well as …

To address the driving conflicts of connected automated vehicles (CAVs) at unsignalized
roundabouts, a cooperative decision-making framework is proposed. The personalized …

The autonomous vehicles (AVs) need to share the driving environment with the human
driving vehicles (HDVs) on expressway in the future. The non-humanlike lane changing (LC) …