Digital Twin (DT) is an emerging technology and has been introduced into intelligent driving
and transportation systems to digitize and synergize connected automated vehicles …

Rapid changes in forces and the resulting changes in acceleration, jerk and higher order
derivatives can have undesired consequences beyond the effect of the forces themselves …

This article presents an interacting multiple model (IMM) for short-term prediction and long-
term trajectory prediction of an intelligent vehicle. This model is based on vehicle's physics …

Vehicle roadway departure accidents are a major traffic safety concern as they oftentimes
result in severe injuries and fatalities. To address such an issue, this article originates a …

This paper presents a human-centered risk assessment algorithm using vehicular
communication for application to an automated driving vehicle. Vehicle-to-vehicle (V2V) …

This paper studies neural network models of vehicle dynamics. We consider both models
with a generic layer architecture and models with specialised topologies that hard-wire …

In order to design an advanced human-automation collaboration system for highly
automated vehicles, research into the driver's neuromuscular dynamics is needed. In this …

Most of the existing torque vectoring control (TVC) strategies are “vehicle-centered,” hence,
fail to consider how driving characteristics affect the vehicle's motion. To address this issue …

Mathematical models of vehicle dynamics will form essential components of future
autonomous vehicles. They may be used within inverse or forward control loops, or within …

Autonomous car is a vehicle that can guide itself without human intervention. Various types
of rudderless vehicles are being developed. Future systems where computers take over the …