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Machine Learning Use-Cases in C-ITS Applications

Bereczki, Norman and Simon, Vilmos (2023) Machine Learning Use-Cases in C-ITS Applications. INFOCOMMUNICATIONS JOURNAL, 15 (1). pp. 26-43. ISSN 2061-2079

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: C-ITS; ITS; V2X; smart city; machine learning; deep learning
Subjects: Q Science / természettudomány > QA Mathematics / matematika > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
T Technology / alkalmazott, műszaki tudományok > TK Electrical engineering. Electronics Nuclear engineering / elektrotechnika, elektronika, atomtechnika
SWORD Depositor: MTMT SWORD
Depositing User: MTMT SWORD
Date Deposited: 11 May 2023 09:39
Last Modified: 11 May 2023 09:39
URI: http://real.mtak.hu/id/eprint/165197

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