A Survey of Vehicular Network Systems for Road Traffic Management

Karol Jurczenia; Jacek Rak

doi:10.1109/access.2022.3168354

A Survey of Vehicular Network Systems for Road Traffic Management

Abstract

In this survey, we analyze the proposals of vehicular communication systems in the context of road traffic management. Starting with the definition of communications between vehicles (V2V), vehicles-to-infrastructure (V2I) and vehicles-to-everything (V2X), we first focus on the requirements and current standards for the Intelligent Transport Systems (ITS), including the maximum communication delay, the communication range and the size of messages (in the case of V2I transmission). After that, we analyze the use cases in line with the implementation of intelligent traffic management and review the respective methods that support or directly manage traffic on roads. One of the primary objectives of this paper is to highlight the architectures of four classes of systems able to support vehicular traffic management and communication between vehicles and roadside infrastructure, namely: vehicular cloud computing (VCC), cloudlets, Mobile Edge Computing (MEC) and fog computing. In this context, we also present our classification of the methods for these four classes of architectures. In the end, we provide our opinion on problems and limitations concerning the deployment of mechanisms belonging to each considered architecture class.

Citations

1 1

CrossRef
0

Web of Science
1 5

Scopus

Authors (2)

Cite as

Full text

download paper

downloaded 141 times

Publication version: Accepted or Published Version
DOI:: Digital Object Identifier (open in new tab) 10.1109/ACCESS.2022.3168354
License: open in new tab

full content of the article see on external site open in new tab

Keywords

Details

Category:: Articles
Type:: artykuły w czasopismach
Published in:: IEEE Access no. 10, pages 42365 - 42385,
ISSN: 2169-3536
Language:: English
Publication year:: 2022
Bibliographic description:: Jurczenia K., Rak J.: A Survey of Vehicular Network Systems for Road Traffic Management// IEEE Access -Vol. 10,iss. 10 (2022), s.42365-42385
DOI:: Digital Object Identifier (open in new tab) 10.1109/access.2022.3168354
Verified by:: Gdańsk University of Technology