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 …

Thanks to the explosive evolution of 6G, Artificial intelligence, Blockchain, Cloud computing,
Data, and Edge computing (6G+ ABCDE), it is possible to make Intelligent Transportation …

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

Driver behavior models have been used as input to self-coaching, accident prevention
studies, and developing driver-assisting systems. In recent years, driver behavior …

The uncertainties of driver's behavior seriously affect road safety and bring significant
challenges to the human-machine cooperative control. This paper proposes a human …

Vision-language models are of interest in various domains, including automated driving,
where computer vision techniques can accurately detect road users, but where the vehicle …

This paper reports a novel intelligent steering wheel developed based on the concept of
triboelectricity aiming at automated driving to reduce traffic accidents. A sandwich-type …

The rapid technological advancements in video analytics and the availability of big data
have made traffic conflict techniques a viable tool for road safety assessments. They can …

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

Interaction‐aware autonomous driving (IAAD) is a rapidly growing field of research that
focuses on the development of autonomous vehicles (AVs) that are capable of interacting …