Congestion-aware heterogeneous connected automated vehicles cooperative scheduling problems at intersections

Chowdhury, Farzana Rahman; Wang, Peirong; Li, Taylor

doi:10.1080/15472450.2021.1990053

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Joint Intersection and Connected And Automated Vehicle Control1

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2022

2023

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Cited by 4 publications

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“…signal sequence, intersection leg index, vehicle index) or continuous variables (e.g. location, speed and acceleration rate), and thus the objectives and constraints can often be continently linearized (Chowdhury et al , 2021; Hadjigeorgiou and Timotheou, 2022).…”

Section: Joint Intersection and Connected And Automated Vehicle Controlmentioning

confidence: 99%

Intersection control with connected and automated vehicles: a review

2022

JICV

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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.

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Section: Joint Intersection and Connected And Automated Vehicle Controlmentioning

confidence: 99%