A Vehicular Cloud-Based Framework for the Intelligent Transport Management of Big Cities

An intelligent transport system (ITS) is intended to streamline the operations of vehicles, manage vehicle traffic, and help drivers with safety and other information, as well as supply convenient applications for passengers. This system is essential for tackling the problems of a big city, like tra...

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Main Author: Rodolfo I. Meneguette
Format: Article
Language:English
Published: Wiley 2016-05-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2016/8198597
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author Rodolfo I. Meneguette
author_facet Rodolfo I. Meneguette
author_sort Rodolfo I. Meneguette
collection DOAJ
description An intelligent transport system (ITS) is intended to streamline the operations of vehicles, manage vehicle traffic, and help drivers with safety and other information, as well as supply convenient applications for passengers. This system is essential for tackling the problems of a big city, like traffic congestion and a lack of a communication infrastructure or traffic engineering, among other factors. With these challenges in mind, we propose a vehicular cloud architecture to assist in the management of large cities. This will create a framework to support different types of services as well as provide storage mechanisms, access, and information management which includes tools for different modes of transport not only for citizens but also for commercial vehicles and emergency services like ambulances. In addition, it will be possible to increase the capacity for abstraction to meet information needs through the use of vehicular networks and the integration of VANETs with other networks, so as to provide relevant information for the monitoring and management of an intelligent transport system.
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spelling doaj-art-60239244ecb04d2b835c8c191f39037a2025-02-03T05:44:19ZengWileyInternational Journal of Distributed Sensor Networks1550-14772016-05-011210.1155/2016/8198597A Vehicular Cloud-Based Framework for the Intelligent Transport Management of Big CitiesRodolfo I. Meneguette0 School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, CanadaAn intelligent transport system (ITS) is intended to streamline the operations of vehicles, manage vehicle traffic, and help drivers with safety and other information, as well as supply convenient applications for passengers. This system is essential for tackling the problems of a big city, like traffic congestion and a lack of a communication infrastructure or traffic engineering, among other factors. With these challenges in mind, we propose a vehicular cloud architecture to assist in the management of large cities. This will create a framework to support different types of services as well as provide storage mechanisms, access, and information management which includes tools for different modes of transport not only for citizens but also for commercial vehicles and emergency services like ambulances. In addition, it will be possible to increase the capacity for abstraction to meet information needs through the use of vehicular networks and the integration of VANETs with other networks, so as to provide relevant information for the monitoring and management of an intelligent transport system.https://doi.org/10.1155/2016/8198597
spellingShingle Rodolfo I. Meneguette
A Vehicular Cloud-Based Framework for the Intelligent Transport Management of Big Cities
International Journal of Distributed Sensor Networks
title A Vehicular Cloud-Based Framework for the Intelligent Transport Management of Big Cities
title_full A Vehicular Cloud-Based Framework for the Intelligent Transport Management of Big Cities
title_fullStr A Vehicular Cloud-Based Framework for the Intelligent Transport Management of Big Cities
title_full_unstemmed A Vehicular Cloud-Based Framework for the Intelligent Transport Management of Big Cities
title_short A Vehicular Cloud-Based Framework for the Intelligent Transport Management of Big Cities
title_sort vehicular cloud based framework for the intelligent transport management of big cities
url https://doi.org/10.1155/2016/8198597
work_keys_str_mv AT rodolfoimeneguette avehicularcloudbasedframeworkfortheintelligenttransportmanagementofbigcities
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