- Title
- Characterizing the role of vehicular cloud computing in road traffic management
- Creator
- Ahmad, Iftikhar; Noor, Rafidah; Ali, Ihsan; Imran, Muhammad; Vasilakos, Athanasios
- Date
- 2017
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/186063
- Identifier
- vital:16800
- Identifier
-
https://doi.org/10.1177/1550147717708728
- Identifier
- ISBN:1550-1329 (ISSN)
- Abstract
- Vehicular cloud computing is envisioned to deliver services that provide traffic safety and efficiency to vehicles. Vehicular cloud computing has great potential to change the contemporary vehicular communication paradigm. Explicitly, the underutilized resources of vehicles can be shared with other vehicles to manage traffic during congestion. These resources include but are not limited to storage, computing power, and Internet connectivity. This study reviews current traffic management systems to analyze the role and significance of vehicular cloud computing in road traffic management. First, an abstraction of the vehicular cloud infrastructure in an urban scenario is presented to explore the vehicular cloud computing process. A taxonomy of vehicular clouds that defines the cloud formation, integration types, and services is presented. A taxonomy of vehicular cloud services is also provided to explore the object types involved and their positions within the vehicular cloud. A comparison of the current state-of-the-art traffic management systems is performed in terms of parameters, such as vehicular ad hoc network infrastructure, Internet dependency, cloud management, scalability, traffic flow control, and emerging services. Potential future challenges and emerging technologies, such as the Internet of vehicles and its incorporation in traffic congestion control, are also discussed. Vehicular cloud computing is envisioned to have a substantial role in the development of smart traffic management solutions and in emerging Internet of vehicles. © The Author(s) 2017.
- Publisher
- SAGE Publications Ltd
- Relation
- International Journal of Distributed Sensor Networks Vol. 13, no. 5 (2017), p.
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- http://www.creativecommons.org/licenses/by/4.0/
- Rights
- Copyright © The Author(s) 2017
- Rights
- Open Access
- Subject
- 4006 Communications engineering; 4606 Distributed computing and systems software; Internet of vehicles; Traffic flow efficiency; Traffic management systems; Vehicular ad hoc network; Vehicular cloud computing
- Full Text
- Reviewed
- Funder
- This research is supported by Grand Challenge Grant UM.0000007/HRU.GC.SS GC002B-15SUS from Sustainable Science Cluster, University of Malaya, Malaysia
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