Microscopic traffic models (MTMs) are widely used for assessing the impacts of (connected)
autonomous vehicles ((C) AVs). These models utilize car‐following (CF) and lane‐changing …

In this study, we explore the problem of adaptive vehicle trajectory control for different risk
levels. Firstly, we introduce a sliding window-based car-following scenario extraction …

This paper proposes an innovative distributed longitudinal control strategy for connected
automated vehicles (CAVs) in the mixed traffic environment of CAV and human-driven …

The frequent traffic accidents lead to a large number of casualties and large related financial
losses every year; this serious state is owed to several factors; among those, driving …

Car-following behavior modeling is of great importance for traffic simulation and analysis.
Considering the multi-steps decision-making process in human driving, we propose a …

Vehicle trajectory prediction is essential for the operation safety and control efficiency of
automated driving. Prevailing studies predict car following and lane change processes in a …

Car-following is a control process in which a following vehicle adjusts its acceleration to
keep a safe distance from the lead vehicle. Recently, there has been a booming of data …

With the development of intelligent vehicles, more research has focused on achieving
human-like driving. As an important component of intelligent vehicle control, car-following …

To explore the potential relationship between the leading vehicle and the following vehicle
during car-following, we proposed a novel car-following model combining a convolutional …

Car-following (CF) behavior is a fundamental of traffic flow modeling; it can be used for the
virtual testing of connected and automated vehicles and the simulation of various types of …