| Title |
Machine Learning Use-Cases in C-ITS Applications |
| ID_Doc |
44535 |
| Authors |
Bereczki, N; Simon, V |
| Title |
Machine Learning Use-Cases in C-ITS Applications |
| Year |
2023 |
| Published |
Infocommunications Journal, 15, 1 |
| DOI |
10.36244/ICJ.2023.1.4 |
| 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. |
| Author Keywords |
C-ITS; ITS; V2X; smart city; machine learning; deep learning |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:001108905400002 |
| WoS Category |
Telecommunications |
| Research Area |
Telecommunications |
| PDF |
https://www.infocommunications.hu/documents/169298/4861545/InfocomJournal_2023_1_4.pdf
|