Vehicular cloud computing: Architectures, applications, and mobility

Intelligent transportation systems are designed to provide innovative applications and services relating to traffic management, as well as to facilitate the access to information for other systems and users. The compelling motivation for employing underutilized onboard resources for transportation s...

Full description

Saved in:
Bibliographic Details
Published in:Computer networks (Amsterdam, Netherlands : 1999) Vol. 135; pp. 171 - 189
Main Authors: Boukerche, Azzedine, De Grande, Robson E.
Format: Journal Article
Language:English
Published: Amsterdam Elsevier B.V 22.04.2018
Elsevier Sequoia S.A
Subjects:
Access to information
Application
Cloud computing
Environment
Information dissemination
Intelligence
Intelligent systems
Intelligent transportation systems
Management
Mobile Cloud Computing
Mobility
Motivation
Onboard equipment
Parking
Passengers
Pedestrians
Resource management
Resources
Roads & highways
Services
Traffic
Traffic control
Traffic management
Traffic models
Transportation
Vehicular Cloud Computing
Vehicular networks
Cloud computing
Vehicular networks
Mobile Cloud Computing
Traffic models
Vehicular Cloud Computing
ISSN:1389-1286, 1872-7069
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Intelligent transportation systems are designed to provide innovative applications and services relating to traffic management, as well as to facilitate the access to information for other systems and users. The compelling motivation for employing underutilized onboard resources for transportation systems and the advancements in management technology for Cloud computing resources has promoted the concept of Vehicular Clouds. This work gathers and describes the most recent approaches and solutions for Vehicular Clouds, featuring applications, services, and traffic models that can enable Vehicular Cloud in a more dynamic environment. We have considered a large number of applications and services that showed relevance in the scope of the transportation system, benefiting its management, drivers, passengers, and pedestrians. Nevertheless, the high traffic mobility imposes as a significant challenge in implementing a Vehicular Cloud on continually changing physical resources. The dynamics of the environment bring fundamental issues and increase the complexity of building this new type of Cloud. By analyzing the existing traffic models, we found that Vehicular Cloud computing is technologically feasible not just in the static environment, like a parking lot or garage where vehicles are stationary, but also the dynamic scenarios, such as highways or streets where vehicles move.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1389-1286
1872-7069
DOI:10.1016/j.comnet.2018.01.004