Dynamic speed harmonization has shown great potential to smoothen the flow of traffic and
reduce travel time in urban street networks. The existing methods, while providing great …

Traditionally, evaluation of intersection safety has been largely reactive and based on
historical crash frequency data. However, the emerging data from connected and …

A path-planning algorithm for connected and non-connected automated road vehicles on
multilane motorways is derived from the opportune formulation of an optimal control …

The negative effect of reduced visibility on driver performance has been recognized as one
of the main causes of motor vehicle crashes in fog. Although many studies have …

The purpose of this study is to define an operational concept involving connected automated
vehicle (CAV) operation on freeway managed lanes. Despite the low projected market …

This paper employed a high-fidelity driving simulator to investigate the impacts of the
Wyoming Department of Transportation (WYDOT) Connected Vehicle (CV) Pilot's Traveler …

This research aims to model system dynamics for mixed traffic flow consisting of Connected
and Automated Vehicles (CAVs) and Human-driven Vehicles (HVs). It quantifies the impact …

Connected and autonomous vehicles (CAVs) have become the highlights of traffic.
Researchers in this field have proposed various traffic management measures to enhance …

Recent advances in artificial intelligence and wireless communication technologies have
created great potential to reduce congestion in urban networks. In this research, we develop …

Connected and Automated Vehicles (CAVs) offer the potential to improve roadway capacity
and safety. Thus, improving road infrastructure condition could be prioritized to eliminate …