Collection and comparison of driver/passenger physiologic and behavioural data in simulation and on-road driving

Daniele Ruscio*, Luca Bascetta, Alessandro Gabrielli, Matteo Matteucci, Dedy Ariansyah, Monica Bordegoni, Giandomenico Caruso, Lorenzo Mussone

*Autore corrispondente per questo lavoro

Risultato della ricerca: Contributo in rivistaContributo a convegno

5 Citazioni (Scopus)


The i.Drive Lab has developed inter-disciplinary methodology for the analysis and modelling of behavioral and physiological responses related to the interaction between driver, vehicle, infrastructure, and virtual environment. The present research outlines the development of a validation study for the combination of virtual and real-life research methodologies. i.Drive driving simulator was set up to replicate the data acquisition of environmental and physiological information coming from an equipped i.Drive electric vehicle with same sensors. i.Drive tests are focused on the identification of driver's affective states that are able to define recurring situations and psychophysical conditions that are relevant for road-safety and drivers' comfort. Results show that it is possible to combine different research paradigms to collect low-level vehicle control behavior and higher-level cognitive measures, in order to develop data collection and elaboration for future mobility challenges.
Lingua originaleEnglish
pagine (da-a)403-408
Numero di pagine6
RivistaModels and Technologies for Intelligent Transportation Systems
Stato di pubblicazionePubblicato - 2017
Pubblicato esternamente
Evento5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2017 - Naples, Italy
Durata: 26 giu 201728 giu 2017


  • Artificial Intelligence
  • Computer Networks and Communications
  • Human Factors
  • Modeling and Simulation
  • driving assessment
  • physiological measures


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