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DOI: 10.14569/IJACSA.2016.071251
PDF

Using Real-World Car Traffic Dataset in Vehicular Ad Hoc Network Performance Evaluation

Author 1: Lucas Rivoirard
Author 2: Martine Wahl
Author 3: Patrick Sondi
Author 4: Marion Berbineau
Author 5: Dominique Gruyer

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 12, 2016.

  • Abstract and Keywords
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Abstract: Vehicular ad hoc networking is an emerging paradigm which is gaining much interest with the development of new topics such as the connected vehicle, the autonomous vehicle, and also new high-speed mobile communication technologies such as 802.11p and LTE-D. This paper presents a brief review of different mobility models used for evaluating performance of routing protocols and applications designed for vehicular ad hoc networks. Particularly, it describes how accurate mobility traces can be built from a real-world car traffic dataset that embeds the main characteristics affecting vehicle-to-vehicle communications. An effective use of the proposed mobility models is illustrated in various road traffic conditions involving communicating vehicles equipped with 802.11p. This study shows that such dataset actually contains additional information that cannot completely be obtained with other analytical or simulated mobility models, while impacting the results of performance evaluation in vehicular ad hoc networks.

Keywords: MOCoPo dataset; mobility models; vehicular ad hoc networks; simulation; performance evaluation

Lucas Rivoirard, Martine Wahl, Patrick Sondi, Marion Berbineau and Dominique Gruyer. “Using Real-World Car Traffic Dataset in Vehicular Ad Hoc Network Performance Evaluation”. International Journal of Advanced Computer Science and Applications (IJACSA) 7.12 (2016). http://dx.doi.org/10.14569/IJACSA.2016.071251

@article{Rivoirard2016,
title = {Using Real-World Car Traffic Dataset in Vehicular Ad Hoc Network Performance Evaluation},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.071251},
url = {http://dx.doi.org/10.14569/IJACSA.2016.071251},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {12},
author = {Lucas Rivoirard and Martine Wahl and Patrick Sondi and Marion Berbineau and Dominique Gruyer}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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