This research explores the inherent vulnerability of nonlinear vehicle platoons characterized
by the oscillatory behavior triggered by external perturbations. The perturbation exerted on …

The design of cooperative adaptive cruise control is critical in mixed traffic flow, where
connected and automated vehicles (CAVs) and human-driven vehicles (HDVs) coexist …

Accurate knowledge about the motion state of preceding vehicles (PVs) contributes to the
optimization of planning and decision making of autonomous vehicles, which in turn further …

This research proposes a unique cloud-assisted collaborative estimating system for on-road
sensors like potholes, ice, and road profile to develop next-generation automobiles that are …

Intelligent connected vehicles can perform better decision making and path planning tasks
when they obtain the accurate motion state of preceding vehicles. In this article, an event …

Connected and automated vehicles (CAVs) provide various valuable and advanced
services to manufacturers, owners, mobility service providers, and transportation authorities …

Simultaneous vibration control and energy harvesting of vehicle suspensions have attracted
significant research attention over the past decades. However, existing energy harvesting …

Accurate prediction of the motion state of the connected vehicles, especially the preceding
vehicle (PV), would effectively improve the decision-making and path planning of intelligent …

Traffic disturbance in urban cities challenges the most advanced traffic signal control
systems (TSCS). The challenge is mainly related to the capability of TSCS to ensure a quick …

This article proposes a novel decision-making framework for autonomous vehicles (AVs),
called predictor–corrector potential game (PCPG), composed of a predictor and a corrector …