Short-term vehicle speed prediction is an essential part of Intelligent Transportation Systems
(ITS), which influences the critical parameter for high-level energy management of electric …

As vehicles become more autonomous, there is a greater need for reliable and accurate
information about neighbouring vehicles. In the V2V environment, information about nearby …

The historical evolution information integral (HEII) effect has a significant impact on drivers'
subsequent traffic behavior. At present, The HEII effect can be conveyed by means of vehicle …

In heterogeneous traffic flow, the response delay of different types' vehicles varies.
Accordingly, a heterogeneous lattice model is created for the mixed traffic flows including …

In the case of missing data, traffic forecasting becomes challenging. Many existing studies
on traffic flow forecasting with missing data often overlook the relationship between data …

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

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 …

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 …

Considering the influence of slope sections and random degradation of the communication
function of cooperative adaptive cruise control vehicles and the effect of the cooperative …

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