Understanding and predicting highway lane-change maneuvers is essential for driving
modeling and its automation. The development of data-based lane-changing decision …

Virtual simulation testing (VST) has become the main testing method for autonomous driving
systems (ADSs) and autonomous driving assistance algorithms (ADAAs). The behavior and …

The inevitable impact of autonomous vehicles (AV) on traffic safety is becoming a reality with
the progressive deployment of these vehicles in different parts of the world. Still, many …

Driver lane change intention (DLCI) predicting has become an essential research for the
development of human–machine co-driving system. This work makes an attempt to predict …

As autonomous driving technology progresses, the need for precise trajectory prediction
models becomes paramount. This paper introduces an innovative model that infuses …

In the stage of man-machine cooperative driving, accurately predicting the trajectory of the
ego vehicle can help intelligent system understand future risk and adjust the control …

This study models a lane-changing event as two behaviourally interconnected
phases:'stay'and 'execution'. The model considers the 'stay'phase duration stochastically …

In highway on-ramp sections, the conflictual interactions between a subject vehicle (merging
vehicle) in the acceleration lane and a following vehicle (lagging vehicle) in the adjacent …

In a lane change (LC) scenario, the lane change vehicle interacts with surrounding vehicles.
The interactions not only affect their driving behaviors but also influence the traffic flow. This …

Urban road traffic flow prediction is the key basis for the development of intelligent
transportation systems. Lane-level heterogeneous traffic flow prediction will become a new …