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VanetMobiSim: generating realistic mobility patterns for VANETs
Abstract
In this paper, we present and describe VanetMobiSim, a generator of realistic vehicular movement traces for telecommunication networks simulators. VanetMobiSim mobility description is validated by illustrating how the interaction between featured macro- and micro-mobility is able to reproduce typical phenomena of vehicular traffic.
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Cited by
A survey and comparative study of simulators for vehicular ad hoc networks (VANETs)
Martinez, F. J., Toh, C. K., Cano, J., Calafate, C. T., & Manzoni, P. (2011) · Wireless Communications and Mobile Computing · doi:10.1002/wcm.859 · Cited by 316
Jiang, X., Yu, F. R., Song, T., & Leung, V. C. M. (2022) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2021.3065209 · Cited by 88
TrafficModeler extensions: A case for rapid VANET simulation using, OMNET++, SUMO, and VEINS
Arellano, W., & Mahgoub, I. (2013) · 2013 High Capacity Optical Networks and Emerging/Enabling Technologies · doi:10.1109/honet.2013.6729767 · Cited by 44
Metadata
- Authors
- Härri, J., Filali, F., Bonnet, C., & Fiore, M.
- Venue
- Proceedings of the 3rd international workshop on Vehicular ad hoc networks
- Publisher
- ACM
- Published
- 2006-09-29
- Pages
- 96-97
- OpenAlex
- W2134900464
- Cited by
- 446
- References
- 0
- FWCI
- 28.66
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: VanetMobiSim: generating realistic mobility patterns for VANETs. https://app.cochat.ai/papers/10.1145/1161064.1161084
- The paper
- Härri, J., Filali, F., Bonnet, C., & Fiore, M. (2006). VanetMobiSim: generating realistic mobility patterns for VANETs. Proceedings of the 3rd international workshop on Vehicular ad hoc networks. https://doi.org/10.1145/1161064.1161084
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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.
