Accurate traffic state (ie, flow, speed, density, etc.) on an urban road network is important
information for urban traffic control and management strategies. However, due to the …

Recently connected vehicle (CV) technology has received significant attention thanks to
active pilot deployments supported by the US Department of Transportation (USDOT). At …

This paper presents a mathematical model for real-time queue estimation using connected
vehicle (CV) technology from wireless sensor networks. The objective is to estimate the …

The rapid development of connected vehicle technology and the emergence of ride-hailing
services have enabled the collection of a tremendous amount of probe vehicle trajectory …

When vehicles share their status information with other vehicles or the infrastructure, driving
actions can be planned better, hazards can be identified sooner, and safer responses to …

Mobile traffic sensors–those move with the flow they are monitoring–have quickly emerged
as an important means for traffic monitoring and data collection. In this paper, we propose …

With the development of connected vehicle technologies and the emergence of e-hailing
services, a vast amount of vehicle trajectory data is being collected every day. This massive …

Queue length estimation plays an important role in traffic signal control and performance
measures of signalized intersections. Traditionally, queue lengths are estimated by applying …

Queue length is a crucial measure of intersection performance. Probe vehicles (PVs) with
advanced sensors are capable of recording vehicle trajectories that can be used to estimate …

With more connected vehicles (CVs) in the networks, the big data era leads to the availability
of abundant data from CVs. CV penetration rate is the fundamental building block of …