No human drives a car in a vacuum; she/he must negotiate with other road users to achieve
their goals in social traffic scenes. A rational human driver can interact with other road users …

Connected and automated vehicles (CAVs), in the context of cooperative intelligent
transportation systems (C-ITS), are capable of exchanging information with each other and …

Artificial potential fields and optimal controllers are two common methods for path planning
of autonomous vehicles. An artificial potential field method is capable of assigning different …

With the growth of the shipping trade, inland water traffic is getting more prosperous than
ever. Meanwhile, the shipping risk in inland rivers increases gradually. In this paper, a path …

Potential fields have been integrated with local path-planning algorithms for autonomous
vehicles (AVs) to tackle challenging scenarios with dense and dynamic obstacles. Most …

This paper proposes a new dynamic driving risk potential field model under the connected
and automated vehicles environment that fully considers the dynamic effect of the vehicle's …

The concept and contents of driving safety field theory were presented in our previous study.
On this basis, this study focus on driving safety field theory modeling and application. First, a …

Obstacle avoidance systems for autonomous driving vehicles have significant effects on
driving safety. The performance of an obstacle avoidance system is affected by the obstacle …

Short-term traffic prediction plays a critical role in many important applications of intelligent
transportation systems such as traffic congestion control and smart routing, and numerous …

This paper proposes a fuzzy logic-based intelligent decision-making approach for
navigation strategy selection in the inland traffic separation scheme. The dynamic …