CoOP: V2V-based Cooperative Overtaking for Platoons on Freeways

Strunz, Martin; Heinovski, Julian; Dressler, Falko

doi:10.1109/itsc48978.2021.9565122

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B Inter-vehicle Level1

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2022

2024

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Cited by 3 publications

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“…Traditional overtaking systems rely on processed visual data, but their work takes advantage of V2X. Strunz et al [101] demonstrate how COA can contribute to platooning on freeways, increasing the average speed by 36%.…”

Section: B Inter-vehicle Levelmentioning

confidence: 99%

Machine Learning Use-Cases in C-ITS Applications

Bereczki¹,

Simon²

2023

Infocommunications journal

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In recent years, the development of Cooperative Intelligent Transportation Systems (C-ITS) have witnessed significant growth thus improving the smart transportation concept. The ground of the new C-ITS applications are machine learning algorithms. The goal of this paper is to give a structured and comprehensive overview of machine learning use-cases in the field of C-ITS. It reviews recent novel studies and solutions on CITS applications that are based on machine learning algorithms. These works are organised based on their operational area, including self-inspection level, inter-vehicle level and infrastructure level. The primary objective of this paper is to demonstrate the potential of artificial intelligence in enhancing C-ITS applications.

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Section: B Inter-vehicle Levelmentioning

confidence: 99%