Mathematical programming and meta-heuristics are two types of optimization methods. Meta-
heuristic algorithms can identify optimal/near-optimal solutions by mimicking natural …

The growing relevance of sustainability, as well as the necessity to replace traditional forms
of transportation with sustainable ones, has made sustainable urban mobility an imperative …

In a mixed traffic environment, the connected vehicle platoon cannot communicate and
collaborate with the surrounding vehicles. In this case, there is a high risk of collision in large …

The emergence of autonomous vehicles and the advancement of technology over the past
several decades has increased the demand for intelligent intersection management …

This paper provides a systematic literature review of studies investigating autonomous
driving technologies, lane detection algorithms, and adaptive and dynamic route planning …

The traffic congestion phenomenon in bottleneck areas is always a difficult problem that
occurs in many freeways. To reduce traffic congestion and improve the safety of bottleneck …

Many controllers have been designed for the longitudinal car-following mode of connected
and automated vehicles. The existing body of research shows that these controllers more or …

In the conventional human driving environment, due to poor traffic information transmission
and the inability to actively control vehicles, variable speed limits (VSLs) and ramp metering …

To investigate the driver's car-following behavior in multiple lanes, this study develops an
improved multi-lane full velocity difference (FVD) model. This model considers the positions …

This paper presents an improved Intelligent Driving Model (Sigmoid-IDM) to address the
issues of excessive acceleration in traffic oscillation and following failure in free flow. The …