Abstract

Different research communities varying from telecommunication to traffic engineering are working on problems related to vehicular traffic congestion, intelligent transportation systems, and mobility patterns using information collected from a variety of sensors. To test the solutions, the first step is to use a vehicular traffic simulator with an appropriate scenario in order to reproduce realistic mobility patterns. Many mobility simulators are available, and the choice is usually done based on the size and type of simulation required, but a common problem is to find a realistic traffic scenario. In order to evaluate and compare new communication protocols for vehicular networks, it is necessary to use a wireless network simulator in combination with a vehicular traffic simulator. This additional step introduces further requirements for the scenario. The aim of this work is to provide a scenario able to meet all the common requirements in terms of size, realism and duration, in order to have a common basis for the evaluations. In the interest of building a realistic scenario, we decided to start from a real city with a standard topology common in mid-size European cities, and real information concerning traffic demands and mobility patterns. In this paper we show the process used to build the Luxembourg SUMO Traffic (LuST) Scenario, and present a summary of its characteristics together with an overview of its possible use cases.


Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.1109/vnc.2015.7385539 under the license cc-by-nc-sa
https://ieeexplore.ieee.org/document/7385539,
https://dblp.uni-trier.de/db/conf/vnc/vnc2015.html#CodecaFE15,
https://orbilu.uni.lu/handle/10993/23011,
http://ieeexplore.ieee.org/iel7/7377407/7385535/07385539.pdf,
https://doi.org/10.1109/VNC.2015.7385539,
https://publications.uni.lu/handle/10993/23011,
https://academic.microsoft.com/#/detail/2221980827
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Document information

Published on 01/01/2015

Volume 2015, 2015
DOI: 10.1109/vnc.2015.7385539
Licence: Other

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