An Overview of the SCV Simulator for Vehicular Networks

DOI

10.2991/cnct-16.2017.72How to use a DOI?

Keywords

VANET, Active safety, Global perception, Periodic messages, Alert messages, SCV

Abstract

The increasing number of vehicles on roads brings more risks associated with vehicular travel. In fact, 50 million victims of accidents with personal injury on the roads are reported around the globe every year. Therefore, it is important to have new technologies that enhance active safety and ensures early detection of dangers. A good solution would be to equip vehicles with wireless, fast and safe communication capacity, called DSRC (Dedicated Short-Range Communication) to coordinate sensory information and perceptions of all vehicles. In order to analyze the success of such technology, we develop a discrete event simulator for modeling vehicle active safety networks, called SCV. Active safety systems are those whose actions begin a few seconds up to a few tenths of a second before the advent of an accident, to prevent or mitigate it. SCV evaluates the success of vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications. It also extends the perceptions of the vehicles environment so that they evaluate situations independently and exploit the redundancy of perception generated maps. Eventually, vehicles react much more quickly in case of danger. Results show that with SCV, we act on cooperative communication systems and we present the overall perception of the road.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jihene REZGUI
AU  - C,dryk DOUCET
AU  - Phillipe ALEXANDRE
PY  - 2016/12
DA  - 2016/12
TI  - An Overview of the SCV Simulator for Vehicular Networks
BT  - Proceedings of the International Conference on Computer Networks and Communication Technology (CNCT 2016)
PB  - Atlantis Press
SP  - 518
EP  - 529
SN  - 2352-538X
UR  - https://doi.org/10.2991/cnct-16.2017.72
DO  - 10.2991/cnct-16.2017.72
ID  - REZGUI2016/12
ER  -