Different original equipment manufacturers (OEMs) provide different connected and
autonomous vehicle (CAV) solutions. However, previous studies that estimated the impact of …

In this study, the safety impact of the coupled implementation of signal coordination and
connected vehicles (CVs) is examined in a microsimulation environment created in VISSIM …

Microscopic traffic models (MTMs) are widely used for assessing the impacts of autonomous
and connected autonomous vehicles (AVs/CAVs). These models use car following (CF) and …

Influencing factors on crash severity involved with autonomous vehicles (AVs) have been
paid increasing attention. However, there is a lack of comparative analyses of those factors …

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

Abstract Models for describing the microscopic driving behavior rarely consider the “social
effects” on drivers' driving decisions. However, social effect can be generated due to …

The advent of emerging mixed traffic flow composed of human-driven vehicles (HDVs) and
connected and automated vehicles (CAVs) is poised to revolutionize traffic operation …

Equipped with high driving automation and advanced communication technologies,
connected and autonomous vehicles (CAV) are expected to possess a shorter reaction time …

This paper proposes a joint neural network model to imitate lane-changing behaviors.
Specifically, lane-changing decision-making process is captured by probabilistic neural …

Automated Driving Systems (ADS) rely on a variety of sensors and algorithms to perceive
their environment and make proper and timely driving decisions to ensure safety and …