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Cited by 478

The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.

A survey of inter-vehicle communication protocols and their applications

Willke, Theodore, Tientrakool, Patcharinee, Maxemchuk, Nicholas·2009·IEEE Communications Surveys & Tutorials

Abstract

Inter-vehicle communication (IVC) protocols have the potential to increase the safety, efficiency, and convenience of transportation systems involving planes, trains, automobiles, and robots. The applications targeted include peer-to-peer networks for web surfing, coordinated braking, runway incursion prevention, adaptive traffic control, vehicle formations, and many others. The diversity of the applications and their potential communication protocols has challenged a systematic literature survey. We apply a classification technique to IVC applications to provide a taxonomy for detailed study of their communication requirements. The applications are divided into type classes which share common communication organization and performance requirements. IVC protocols are surveyed separately and their fundamental characteristics are revealed. The protocol characteristics are then used to determine the relevance of specific protocols to specific types of IVC applications.

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Metadata

Authors
Willke, T., Tientrakool, P., & Maxemchuk, N.
Venue
IEEE Communications Surveys & Tutorials
Published
2009
Volume
11
Issue
2
Pages
3-20
ISSN
1553-877X (ISSN-L)
OpenAlex
W2161970655
Cited by
478
References
37
FWCI
30.10
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A survey of inter-vehicle communication protocols and their applications. https://app.cochat.ai/papers/10.1109/surv.2009.090202
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Willke, T., Tientrakool, P., & Maxemchuk, N. (2009). A survey of inter-vehicle communication protocols and their applications. IEEE Communications Surveys & Tutorials. https://doi.org/10.1109/surv.2009.090202

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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.