Litcius/Paper detail

Intersection control with connected and automated vehicles: a review

Jiaming Wu, Xiaobo Qu

2022Journal of Intelligent and Connected Vehicles83 citationsDOIOpen Access PDF

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.

Topics & Concepts

Intersection (aeronautics)OriginalityControl (management)Focus (optics)Computer scienceValue (mathematics)Data scienceOperations researchManagement scienceEngineeringArtificial intelligenceTransport engineeringMachine learningSociologySocial scienceQualitative researchOpticsPhysicsTraffic control and managementAutonomous Vehicle Technology and SafetyTraffic and Road Safety