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MobSampling: V2V Communications for Traffic Density Estimation

Laura Garelli Claudio Casetti 1 Carla-Fabiana Chiasserini 1 Marco Fiore 2
2 SWING - Smart Wireless Networking
Inria Grenoble - Rhône-Alpes, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
Abstract : We propose a fully-distributed approach to the on- line estimation of vehicle traffic density. Our approach envisions vehicles communicating within a VANET and cooperating to collect density measurements through a uniform sampling of the road sections of interest. The proposed scheme does not require the presence of any network infrastructure, central controller or devices triggered by the passage of vehicles, and it is suitable for both highway and urban environments. Results derived through ns-2 simulations in realistic mobility scenarios show that our solution is very effective, providing accurate, on-line estimates of the traffic density with minimal protocol overhead.
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Conference papers
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https://hal.inria.fr/inria-00613333
Contributor : Marco Fiore <>
Submitted on : Thursday, August 4, 2011 - 3:01:16 PM
Last modification on : Wednesday, July 8, 2020 - 12:42:51 PM

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  • HAL Id : inria-00613333, version 1

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Laura Garelli, Claudio Casetti, Carla-Fabiana Chiasserini, Marco Fiore. MobSampling: V2V Communications for Traffic Density Estimation. IEEE VTC 2011 Spring, May 2011, Budapest, Hungary. ⟨inria-00613333⟩

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