Driver lane-changing behaviors have a significant impact on the safety and the capacity of
the vehicle-based traffic system. Therefore, modeling lane-changing maneuvers has …

Discretionary lane-changing (DLC) is one of the complex driving manoeuvres that requires
surrounding traffic information for efficient and safe manoeuvring. The connected …

This study presents a cellular lane-changing model where the traffic lanes are discretized
into cells and formulates the lane-changing process as a multi-player non-zero-sum non …

In this paper, we propose a two-lane cellular automata model that explains the relationship
between traffic-related parameters and likelihood of accidents P ac at a signalized …

The accuracy of the data is crucial to the real-time prediction of autonomous driving. Due to
factors such as weather and the accuracy of data collection equipment, there frequently exist …

While lane-changing movements are performed on the entire motorway network for various
reasons, such as overtaking, their intensity is substantially greater near complex segments …

Mandatory lane change (MLC) is the core of lane-specific motion planning for connected
and autonomous vehicles (CAVs). To model the MLC for CAVs, this paper presented a …

This study aims to quantify the impact of discretionary lane-changing (DLC) on following
vehicles (FVs) in the target lane using real-world dataset. The Waymo Open Dataset is used …

The primary objective of this study is to evaluate how intelligent vehicles equipped with
cooperative adaptive cruise control (CACC) improve freeway efficiency and safety at an off …

ABSTRACT The coexistence of Connected Automated Vehicles (CAVs) and Human-driven
Vehicles (HVs) in traffic scenarios is expected to persist in the long term. Hence, proposing …