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Tiboni, Michela

in Cooperation with on an Cooperation-Score of 37%

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Chart of shared publication
VETTURI, David - 7 publications, 3 shared
Bonera, Michela - 6 publications, 1 shared
Maternini, Giulio - 9 publications, 1 shared
Caselli, B. - 1 publications, 1 shared
ROSSETTI, Silvia - 13 publications, 10 shared
Zazzi, M. - 2 publications, 1 shared
Robertis, Michelle - 1 publications, 1 shared
Tira, Maurizio - 4 publications, 3 shared
Calderon, Enrique Javier - 1 publications, 1 shared
Riccardo, Bonotti - 1 publications, 1 shared
Tira, M. - 1 publications, 1 shared
Turetta, Simona - 1 publications, 1 shared
Frascarolo, Anna - 1 publications, 1 shared
Badiani, Barbara - 1 publications, 1 shared
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2020
2018
2015
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2002

conferencepaper

Use of eye tracking device to evaluate the driver's behaviour and the infrastructures quality in relation to road safety

  • VETTURI, David
  • Bonera, Michela
  • Maternini, Giulio
  • Tiboni, Michela
Abstract

Eye tracking allows to obtain important elements regarding the drivers’ behaviour during their driving activity, by employing a device that monitors the movements of the eye and therefore of the user's observation point. In this paper it will be explained how analysing the behaviour of the drivers through the eye movements permits to evaluate the infrastructures quality in terms of road safety. Driver behaviour analysis have been conducted in urban areas, examining the observation target (cars, pedestrians, road signs, distraction elements) in quantitative terms (time of fixing each singular target). In particular, roundabout intersections and rectilinear segment of urban arterials have been examined and the records related to seven drivers’ behaviour were collected, in order to have a significant statistical variability. Only young people has considered in this study. The analyses carried out have made it possible to assess how different types of infrastructure influence the behaviour of road users, in terms of safety performance given by their design. In particular, quantitative analyzes were carried out on driving times dedicated to observing attention rather than distraction targets. From a statistical point of view, the relationship that exists between the characteristics of the driver, weather conditions and infrastructure, with driving behavior (traveling speed and attention / inattention time) was analyzed by ANOVA method.

Topics
  • automobile
  • road
  • behavior
  • surveillance
  • driving
  • infrastructure
  • driver
  • pedestrian
  • highway safety
  • roundabout
  • urban area
  • driving behavior
  • chemical element
  • traffic sign
  • weather condition
  • eye
  • supervisor
  • distraction
  • eye movement