With the mandatory implementation of the automatic identification system and the rapid
advancement of relevant satellite communication technologies, a vast amount of vessel …

Pedestrians represent a group of vulnerable road users who are at a higher risk of
sustaining severe injuries than other road users. As such, proactively assessing pedestrian …

Accurately detecting and predicting Lane Change (LC) processes of human-driven vehicles
can help autonomous vehicles better understand their surrounding environment, recognize …

A connected environment provides driving aids to assist drivers in decision-making and
aims to make driving manoeuvres safer by minimising uncertainty associated with decisions …

Effectively modeling carbon prices while maintaining interpretability is essential, given the
potential risks associated with unexpected price fluctuations. To this end, this study …

Merging behaviour is a fundamental yet challenging driving task which has significant
impact on traffic flow operations. While numerous efforts have been made on the modelling …

Lane change has a potential significance in road safety. Gap acceptance phenomena
serves as a primary and critical phase in lane change maneuver. This study aims to …

Human drivers take discretionary lane changes when the target lane is perceived to offer
better traffic conditions. Improper discretionary lane changes, however, lead to traffic …

The unexpected success of China's PV industry in technology catch-up has been noted.
However, existing research has overlooked the multidimensional nonlinear complexities in …

This paper introduces an innovative approach to model the lane-change (LC) process of
vehicles by employing parallel learning, seamlessly integrating conventional physical or …