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 …

This study addresses car-following models that are currently used for simulating AV and
CAV. Diverse car-following models, Intelligent Driver Model (IDM), Improved IDM (IIDM) …

Precise real-time traffic flow prediction is crucial for route guidance and traffic fine control.
With the development of autonomous driving, the mixed traffic flow state composed of …

The introduction of autonomous vehicles has been considered as a possible option for
reducing traffic congestion in many transport studies. Many types of models, in particular car …

In order to explore the categorization of vehicle oscillation and the relationship between
individual vehicle oscillation and platoon oscillation in traffic flow, this paper conducts field …

The behavioural differences between autonomous vehicles (AVs) and human‐driven
vehicles (HDVs) can significantly impact traffic efficiency, safety, and emissions. Simulation …

This paper reports an experimental study on oscillation growth in mixed traffic flow of
automated vehicles (AVs) and human vehicles (HVs). The leading vehicle moves with …

Connected and autonomous vehicles (CAVs) systems have the potential to reduce
accidents, improve mobility for the disabled and elderly, increase road capacity, save fuel …

Automated vehicle (AV) technologies are advancing and becoming increasingly accessible
to the public domain. A growing literature is identifying individual characteristics that are …

This paper reports an experimental study on oscillation growth in mixed traffic flow of
automated vehicles (AVs) and human driven vehicles (HVs). The leading vehicle moves with …