Data Analysis Techniques in Vehicle Communication Networks: Systematic Mapping of Literature

Lucas Gomes De Almeida,Otavio S M Gomes,Bruno Tardiole Kuehne,Adler Diniz De Souza

doi:10.1109/access.2020.3034588

Lucas Gomes De Almeida, Otavio S M Gomes + Show 2 more

Open Access

https://doi.org/10.1109/access.2020.3034588

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Abstract

Vehicles are becoming more intelligent and connected due to the demand for faster, efficient, and safer transportation. For this transformation, it was necessary to increase the amount of data transferred between electronic modules in the vehicular network since it is vital for an intelligent system's decision-making process. Hundreds of messages travel all the time in a vehicle, creating opportunities for analysis and development of new functions to assist the driver's decision. Given this scenario, this article presents the results of research to found out which data analysis techniques in vehicular communication networks and for which purposes they are designed. The research method adopted was the systematic mapping of literature, where 196 articles were found using a search protocol. All papers were classified according to the established inclusion and exclusion criteria, and the main results contained were discussed. To obtain a clear view of the generated information and support the identification of possible gaps in this field, correlation graphs, and a systematic map was developed. It was possible to verify that the identification of the driver's profile was the most studied application, with the use of neural network techniques to correlate the gathered data.

Highlights

This paper proposes a systematic mapping of the best techniques and applications for data that travels in vehicular networks
The main idea of this systematic mapping of literature was to find out the state-of-the-art data analysis techniques in vehicular communication networks
We observed through this article that the driver's profile identification was the most used application for data analysis, followed by security against cyberattacks

Summary

Introduction

In the last few decades, it was possible to observe an increase in the use of electronic modules inside the vehicles to support a connected world's new technologies. The CAN protocol was first introduced by Robert Bosch company GmbH in 1983. It has been widely used in several applications in the automotive industry and even in other application fields, such as domestic and medical [2]. Its great use could assign to high scalability, robustness, and ease configuration added to the system. This protocol travels relevant vehicle data that can be applied to support the driver's navigation system and perform critical driving decisions. Data availability is no longer a restrictive aspect, as data could be and quickly collected

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