@article{ref1,
title="Intersection control with connected and automated vehicles: a review",
journal="Journal of intelligent and connected vehicles",
year="2022",
author="Wu, Jiaming and Qu, Xiaobo",
volume="5",
number="3",
pages="260-269",
abstract="PURPOSE This paper aims to review the studies on intersection control with connected and automated vehicles (CAVs). <br><br>DESIGN/METHODOLOGY/APPROACH The most seminal and recent research in this area is reviewed. This study specifically focuses on two categories: CAV trajectory planning and joint intersection and CAV control. <br><br>FINDINGS It is found that there is a lack of widely recognized benchmarks in this area, which hinders the validation and demonstration of new studies. <br><br>ORIGINALITY/VALUE In this review, the authors focus on the methodological approaches taken to empower intersection control with CAVs. The authors hope the present review could shed light on the state-of-the-art methods, research gaps and future research directions.<p /> <p>Language: en</p>",
language="en",
issn="2399-9802",
doi="10.1108/JICV-06-2022-0023",
url="http://dx.doi.org/10.1108/JICV-06-2022-0023"
}