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Context-aware vehicular cyber-physical systems with cloud support: architecture, challenges, and solutions
Open accessAbstract
The advances in wireless communication techniques, mobile cloud computing, and context- aware technologies boost a growing interest in the design, development, and deployment of vehicular networks for emerging applications. This leads to an increasing evolutionary tendency to change from vehicular networks toward cloud-assisted context-aware vehicular cyberphysical systems. In this article, we first propose a multi-layered context-aware architecture and introduce two crucial service components, vehicular social networks and context-aware vehicular security. Then we propose an application scenario regarding the context-aware dynamic parking services by illuminating the cloud-assisted architecture and logic flow. Finally, we investigate the challenges and possible solutions, including context-aware safety hazard prediction, context-aware dynamic vehicle routing, and context-aware vehicular clouds.
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Research works printed but not linked: 15
- 10.1016/j.ins.2013.05.003 · doi:10.1016/j.ins.2013.05.003
- kosonen, 1999, HUTSIM - Urban Traffic Simulation and Control Model Principles and Applications Transportation Engineering
- kuchar, 2003, The Traffic Alert and Collision Avoidance System, Lincoln Lab J, 16, 277
- 10.1061/41186(421)422 · doi:10.1061/41186(421)422
- 10.1007/978-3-642-31087-4_10 · doi:10.1007/978-3-642-31087-4_10
- 10.1109/CLOUD.2010.78 · DOI
- 10.1109/MNET.2013.6616115 · DOI · Paper page
- 10.1109/CloudCom.2012.6427481 · DOI · Paper page
- rakotonirainy, 0, Design of Context-Aware Systems for Vehicles Using Complex System Paradigms, Workshop on Safety and Context in Conjunction with CONTEXT'05, 43
- 10.1109/MCOM.2011.5681018 · doi:10.1109/mcom.2011.5681018
- 10.1109/MPRV.2009.56 · DOI
- 10.1109/TVT.2013.2263400 · DOI · Paper page
- 10.4108/icst.trans.mca.2011.e2 · DOI
- 10.1007/s11036-014-0499-6 · DOI · Paper page
- 10.1109/MCOM.2008.4539481 · DOI · Paper page
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Metadata
- Authors
- Wan, J., Zhang, D., Zhao, S., Yang, L., & Lloret, J.
- Venue
- IEEE Communications Magazine
- Published
- 2014-08
- Volume
- 52
- Issue
- 8
- Pages
- 106-113
- ISSN
- 0163-6804 (ISSN-L)
- OpenAlex
- W1996039196
- Cited by
- 369
- References
- 0
- FWCI
- 28.12
- Type
- journal article
- Language
- en
- Open access
- green
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- Wan, J., Zhang, D., Zhao, S., Yang, L., & Lloret, J. (2014). Context-aware vehicular cyber-physical systems with cloud support: architecture, challenges, and solutions. IEEE Communications Magazine. https://doi.org/10.1109/mcom.2014.6871677
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.