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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Mobility Trace Analysis for Intelligent Vehicular Networks: Methods, Models, and Applications

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Author(s):
Celes, Clayson [1, 2] ; Boukerche, Azzedine [1] ; Loureiro, Antonio A. F. [2]
Total Authors: 3
Affiliation:
[1] Univ Ottawa, Dept EECS, 800 King Edward Ave, Ottawa, ON K1N 6N5 - Canada
[2] Univ Fed Minas Gerais, 6627 Pres Antonio Carlos Ave, BR-31270901 Belo Horizonte, MG - Brazil
Total Affiliations: 2
Document type: Journal article
Source: ACM COMPUTING SURVEYS; v. 54, n. 3 JUN 2021.
Web of Science Citations: 0
Abstract

Intelligent vehicular networks emerge as a promising technology to provide efficient data communication in transportation systems and smart cities. At the same time, the popularization of devices with attached sensors has allowed the obtaining of a large volume of data with spatiotemporal information from different entities. In this sense, we are faced with a large volume of vehicular mobility traces being recorded. Those traces provide unprecedented opportunities to understand the dynamics of vehicular mobility and provide data-driven solutions. In this article, we give an overview of the main publicly available vehicular mobility traces; then, we present the main issues for preprocessing these traces. Also, we present the methods used to characterize and model mobility data. Finally, we review existing proposals that apply the hidden knowledge extracted from the mobility trace for vehicular networks. This article provides a survey on studies that use vehicular mobility traces and provides a guideline for the proposition of data-driven solutions in the domain of vehicular networks. Moreover, we discuss open research problems and give some directions to undertake them. (AU)

FAPESP's process: 18/23064-8 - Mobility in urban computing: characterization, modeling and applications (MOBILIS)
Grantee:Antonio Alfredo Ferreira Loureiro
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 15/24494-8 - Communications and processing of big data in cloud and fog computing
Grantee:Nelson Luis Saldanha da Fonseca
Support Opportunities: Research Projects - Thematic Grants