The growing recognition of the societal implications stemming from technological
advancements highlights the need for innovative governance approaches, particularly in …

Queue length is a crucial measurement of traffic signal control at urban intersections.
Conventional queue length estimation methods mostly still rely on fixed detectors. The …

Connected vehicle (CV) technology can connect, communicate, and share information
between vehicles, infrastructure, and other traffic management systems. Recent research …

Traffic state estimation plays a fundamental role in traffic control and management. In the
connected vehicles (CVs) environment, more traffic‐related data perceived and interacted …

Recently, in the literature, microscopic simulation is one of the most attractive methods in
impact assessment of automated vehicles (AVs) on traffic flow. AVs can be divided into …

This paper proposes a two-layer hierarchical longitudinal control approach that optimizes
travel time and trajectories along multiple intersections on an arterial under mixed traffic of …

A variety of simulation approaches based on automated driving technologies have been
proposed to develop traffic operations strategies to prevent traffic crashes and alleviate …

This study evaluates the network performance of Daejeon City's traffic based on the market
penetration rate of Autonomous Vehicles (AVs). Real-world AV data from the Waymo …

Vehicle trajectory data provides critical information for many transportation applications. Due
to limitations in the data collection techniques, usually, only partial trajectories can be …

Automated vehicle (AV) technology provides an opportunity to increase capacity and reduce
congestion while maintaining stability and flow rate by allowing AVs to control their …