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Cited by 870

The DOI matches its Crossref record.

Vehicular communication systems: Enabling technologies, applications, and future outlook on intelligent transportation

Open access
Papadimitratos, P., La Fortelle, A., Evenssen, K., Brignolo, R., Cosenza, S.·2009·IEEE Communications Magazine
DOI 10.1109/mcom.2009.5307471
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Abstract

Numerous technologies have been deployed to assist and manage transportation. But recent concerted efforts in academia and industry point to a paradigm shift in intelligent transportation systems. Vehicles will carry computing and communication platforms, and will have enhanced sensing capabilities. They will enable new versatile systems that enhance transportation safety and efficiency and will provide infotainment. This article surveys the state-of-the-art approaches, solutions, and technologies across a broad range of projects for vehicular communication systems.

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Metadata

Authors
Papadimitratos, P., La Fortelle, A., Evenssen, K., Brignolo, R., & Cosenza, S.
Venue
IEEE Communications Magazine
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2009-11
Volume
47
Issue
11
Pages
84-95
ISSN
0163-6804 (ISSN-L)
DOI
10.1109/mcom.2009.5307471
OpenAlex
W2027067237
Cited by
870
References
0
FWCI
24.55
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Vehicular communication systems: Enabling technologies, applications, and future outlook on intelligent transportation. https://app.cochat.ai/papers/10.1109/mcom.2009.5307471
The paper
Papadimitratos, P., La Fortelle, A., Evenssen, K., Brignolo, R., & Cosenza, S. (2009). Vehicular communication systems: Enabling technologies, applications, and future outlook on intelligent transportation. IEEE Communications Magazine. https://doi.org/10.1109/mcom.2009.5307471

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.