Based on the back-step** technique, this paper designs an observer-based event-
triggered adaptive platooning control algorithm for autonomous vehicles (AVs) with motion …

Network-level adaptive signal control is an effective way to reduce delay and increase
network throughput. However, in the face of asymmetric exogenous demand, the increase of …

Owing to the high acquisition costs, maintenance expenses, and inadequate charging
infrastructure associated with electric buses, achieving a complete replacement of diesel …

Connected vehicles (CVs) are conductive to promoting the transition from purely regular
vehicles to purely connected autonomous vehicles where CVs are regarded as regular …

Ridesplitting promises to reduce emissions. Previous studies mainly compared ridesplitting
with single rides like taxis, leaving its impact on other modes unclear. This study quantifies …

The maturation and scalability of unmanned aerial vehicle (UAV) technology offer
transformative opportunities to revolutionize prompt delivery. This study explores integrating …

Battery capacity degradation in battery electric buses (BEBs) poses a significant operational
challenge for transit agencies. This study presents a sustainable battery scheduling and …

This article studies the problem of cooperative control of heterogeneous vehicles in a
platoon. First, a novel predictive spacing strategy (PSS) is proposed for vehicles that are …

In an urban environment, the accurate prediction of congestion levels is a prerequisite for
formulating traffic demand management strategies reasonably. Current traffic forecasting …

Large-scale congestion can lead to traffic paralysis, which severely hampers the flow of
vehicles and disrupts the normal functioning of urban traffic. Traffic optimization strategies …