Purpose-On-ramp merging areas are typical bottlenecks in the freeway network since
merging on-ramp vehicles may cause intensive disturbances on the mainline traffic flow and …

Purpose-This paper aims to review the studies on intersection control with connected and
automated vehicles (CAVs). Design/methodology/approach-The most seminal and recent …

Traffic incident management in metropolitan areas is crucial for the recovery of road systems
from accidents as well as the mobility and safety of the community. With the continuous …

In this study, we explore the problem of adaptive vehicle trajectory control for different risk
levels. Firstly, we introduce a sliding window-based car-following scenario extraction …

The focus of car-following models is to analyze the microscopic characteristics of traffic
flows, with particular attention given to the interaction between adjacent vehicles. This paper …

To improve traffic efficiency at highway on-ramps under heavy traffic, this study proposes a
platoon-based cooperative optimal control algorithm for connected autonomous vehicles …

In intelligent transportation systems, one key challenge for managing ride-hailing services is
the balancing of traffic supply and demand while meeting passenger needs within vehicle …

With the arrival of autonomous and connected vehicles, it remains unclear how automation
and connectivity will impact the energy consumption of electric vehicles. Here, we report the …

Guidance and control (G&C) technologies play a central role in the development and
operation of vehicular systems. The emergence of computational guidance and control …

This research introduces a novel approach to cooperative decision-making among self-
organizing connected and autonomous vehicles (CAVs). In this approach, a coalitional …