Data analytics for Cooperative Intelligent Transport Systems

Muhammad Awais Javed; Sherali Zeadally; Elyes Ben Hamida

doi:10.1016/j.vehcom.2018.10.004

Data analytics for Cooperative Intelligent Transport Systems

Muhammad Awais Javed, Sherali Zeadally, Elyes Ben Hamida

School of Information Science

Research output: Contribution to journal › Article › peer-review

95 Scopus citations

Abstract

Cooperative Intelligent Transport System (C-ITS) is a key enabler of future road traffic management systems. The core component of C-ITS includes vehicles, road side units and traffic command centers. They generate a large amount of traffic that is made up of both mobility and service-related data. To extract useful and relevant information out of this data, data analytics will play a crucial role in future C-ITS applications. We present a review of how data analytics can benefit C-ITS applications. We describe the various types of data generated by C-ITS applications and potential dissemination techniques using various wireless technologies. We demonstrate how meaningful results from this data could be beneficial to C-ITS. We also demonstrate the improved reliability of C-ITS applications that can be achieved with data analytics using simulation results. Finally, we discuss future possible applications of data analytics in C-ITS.

Original language	English
Pages (from-to)	63-72
Number of pages	10
Journal	Vehicular Communications
Volume	15
DOIs	https://doi.org/10.1016/j.vehcom.2018.10.004
State	Published - Jan 2019

Bibliographical note

Publisher Copyright:
© 2019 Elsevier Inc.

Keywords

Data analytics
Intelligent transport systems
Route guidance application

ASJC Scopus subject areas

Communication
Electrical and Electronic Engineering
Automotive Engineering

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10.1016/j.vehcom.2018.10.004

Cite this

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title = "Data analytics for Cooperative Intelligent Transport Systems",

abstract = "Cooperative Intelligent Transport System (C-ITS) is a key enabler of future road traffic management systems. The core component of C-ITS includes vehicles, road side units and traffic command centers. They generate a large amount of traffic that is made up of both mobility and service-related data. To extract useful and relevant information out of this data, data analytics will play a crucial role in future C-ITS applications. We present a review of how data analytics can benefit C-ITS applications. We describe the various types of data generated by C-ITS applications and potential dissemination techniques using various wireless technologies. We demonstrate how meaningful results from this data could be beneficial to C-ITS. We also demonstrate the improved reliability of C-ITS applications that can be achieved with data analytics using simulation results. Finally, we discuss future possible applications of data analytics in C-ITS.",

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AB - Cooperative Intelligent Transport System (C-ITS) is a key enabler of future road traffic management systems. The core component of C-ITS includes vehicles, road side units and traffic command centers. They generate a large amount of traffic that is made up of both mobility and service-related data. To extract useful and relevant information out of this data, data analytics will play a crucial role in future C-ITS applications. We present a review of how data analytics can benefit C-ITS applications. We describe the various types of data generated by C-ITS applications and potential dissemination techniques using various wireless technologies. We demonstrate how meaningful results from this data could be beneficial to C-ITS. We also demonstrate the improved reliability of C-ITS applications that can be achieved with data analytics using simulation results. Finally, we discuss future possible applications of data analytics in C-ITS.

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Data analytics for Cooperative Intelligent Transport Systems

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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