Citation

Wu J, Qu X. J. Intell. Connect. Veh. 2022; 5(3): 260-269.

Copyright

(Copyright © 2022, Emerald Group Publishing)

DOI

10.1108/JICV-06-2022-0023

PMID

unavailable

Abstract

PURPOSE This paper aims to review the studies on intersection control with connected and automated vehicles (CAVs).

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.

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.

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.

Language: en