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 …

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 …

Driver behavior models have been used as input to self-coaching, accident prevention
studies, and develo** 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 …

Physiological signal monitoring and driver behavior analysis have gained increasing
attention in both fundamental research and applied research. This study involved the …

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 …

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

Fatigue driving has been regarded as one of the most important factors that cause traffic
accidents. This paper proposes a robust human-machine shared control strategy to improve …