Reference : Poster: Characterizing Driving Behaviors Through a Car Simulation Platform
Scientific congresses, symposiums and conference proceedings : Poster
Engineering, computing & technology : Computer science
Security, Reliability and Trust
http://hdl.handle.net/10993/32908
Poster: Characterizing Driving Behaviors Through a Car Simulation Platform
English
Faye, Sébastien mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Jafarnejad, Sasan mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Costamagna, Juan mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Castignani, German mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Engel, Thomas mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
27-Nov-2017
Yes
No
International
2017 IEEE Vehicular Networking Conference (VNC)
27-11-2017 to 29-11-2017
Turin
Italy
[en] dataset ; driving simulator ; driver behaviour
[en] Human mobility has opened up to many themes in recent years. Human behavior and how a driver might react to certain situations, whether dangerous (e.g. an accident) or simply part of the evolution of new technologies (e.g. autonomous driving), leaves many avenues to be explored. Although experiments have been deployed in real situations, it remains difficult to encounter the conditions that certain studies may require. For this reason, we have set up a driving simulator (comprising several modules) that is able to reproduce a realistic driving environment. Although, as the literature has already demonstrated, the conditions are often far from reality, simulation platforms are nonetheless capable of reproducing an incredibly large number of scenarios on the fly. In this poster, we explain how we conceived the simulator, as well as the system we developed for collecting metrics on both the driver and the simulation environment. In addition, we take advantage of this conference to publicly share a dataset consisting of 25 drivers performing the same road circuit on the "Project Cars" game.
http://hdl.handle.net/10993/32908

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