The development of connected and autonomous vehicle (CAV) technology has received
increasing attention in recent years. Although car‐following behavior in mixed traffic with …

The focus of car-following models is to analyze the microscopic characteristics of traffic
flows, with particular attention given to the interaction between adjacent vehicles. This paper …

The emergence of connected and autonomous vehicles (CAV) is of great significance to the
development of transportation systems. This paper proposes a multiple-factors aware car …

For realistic traffic flow simulation and analysis, it is essential to discuss car-following
behaviors in detail, while most studies only concentrate on the heterogeneity according to …

Despite the prosperous development of connected vehicle (CV) and its car-following (CF)
models, human-driven CV and its CF properties are rarely investigated. This paper studies …

Although there have been assorted car-following (CF) models for connected vehicles (CVs),
studying their impacts in mixed traffic flow of human-driven vehicles (HVs) and CVs remains …

In the foreseeable future, a complex heterogeneous traffic environment will emerge as
Connected and Autonomous Vehicles (CAVs) coexist with Human-driven Vehicles (HDVs) …

Connected vehicles (CVs) are considered to have the potential to significantly improve traffic
flow stability. Although several studies have been devoted to modelling car-following …

In the past decades, many improved car‐following models based on the full velocity
difference (FVD) model have been developed. But these models do not consider the …

This research represents the heterogeneity in car following by a hidden variable driver state,
which could change due to the driver's habit, fatigue, distraction, influence of surrounding …