Digital Twin (DT) is an emerging technology and has been introduced into intelligent driving
and transportation systems to digitize and synergize connected automated vehicles …

Identifying and evaluating the potential risks in the surrounding environment is critical for
intelligent vehicles' safety and user experience. This paper provides a comprehensive …

In the future complex intelligent transportation environments, lane-changing behavior of
surrounding vehicles is a significant factor affecting the driving safety. It is necessary to …

In intelligent driving, situational assessment (SA) is an important technology, which helps to
improve the cognitive ability of intelligent vehicles in the environment. Uncertainty analysis is …

The implementation of autonomous driving is inseparable from developing intelligent driving
decision-making models, which are facing high scene complexity, poor decision-making …

Lane change (LC) is one of the safety-critical manoeuvres in highway driving according to
various road accident records. Thus, reliably predicting such manoeuvre in advance is …

Driving intention prediction is one of the key technologies for the development of advanced
assisted driving systems (ADAS), which could greatly reduce traffic accidents caused by …

Accurate maneuver prediction for surrounding vehicles enables intelligent vehicles to make
safe and socially compliant decisions in advance, thus improving the safety and comfort of …

Autonomous vehicles for the intention of human behavior of the estimated traffic participants
and their interaction is the main problem in automatic driving system. Classical cognitive …

The safety and energy efficiency of autonomous vehicles in the vehicle-following driving
scenario is seriously affected by the decision-making framework. This article proposes a …