Connected and automated vehicles (CAVs) have great potential to smooth mixed traffic flow.
To focus on the fact that the driving styles of HDVs are time-varying, a new control framework …

Abstract Connected and Autonomous Vehicles (CAVs) can receive various information from
surrounding vehicles through Vehicle‐to‐Everything (V2X) communication technologies and …

Accurately predicting the highway traffic speed can reduce traffic accidents and transit time,
and it also provides valuable reference data for traffic control in advance. Three essential …

With the popularity of computer internet technology in transportation, connected automated
vehicles (CAVs) maintain the traffic flow stability by sharing real-time driving information …

Rain and snow will affect the safe speed and safe distance between vehicles. Therefore, a
new macroscopic continuum traffic model for mixed heterogeneous vehicles including …

In the world of transportation, where computer technology is on the rise, connected vehicles
(CAVs) are sharing real-time driving data to improve traffic flow stability. Also, the passing …

Urban transportation systems are quickly developing more intelligent and networked
systems. To further enhance the intelligent networked traffic environment, this study …

Car-following behavior is influenced by multiple factors. Utilizing the potential field theory,
previously determined as a comprehensive representation of these influencing factors, this …

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 …

This paper proposes a fundamental diagram of the mixed traffic flow for multi-lane road
segments with connected automated vehicles (CAVs) dedicated lanes based on a flexible …