• DocumentCode
    1474894
  • Title

    Argos: An Advanced In-Vehicle Data Recorder on a Massively Sensorized Vehicle for Car Driver Behavior Experimentation

  • Author

    Perez, A. ; Garcia, M.I. ; Nieto, Manuel ; Pedraza, José L. ; Rodriguez, Saul ; Zamorano, Juan

  • Author_Institution
    Dept. of Comput. Syst. Archit. & Technol., Tech. Univ. of Madrid, Madrid, Spain
  • Volume
    11
  • Issue
    2
  • fYear
    2010
  • fDate
    6/1/2010 12:00:00 AM
  • Firstpage
    463
  • Lastpage
    473
  • Abstract
    A crucial factor in traffic safety is driver behavior. A better understanding of driver actions will help in determining the most common reasons for car accidents. Therefore, research in this field helps to reduce accidents due to driver distraction. This paper presents Argos, which is a complex and powerfully computerized car to help researchers in the study of car driver behavior. The Argos system is an improved in-vehicle data recorder (IVDR) that allows recording many kinds of alphanumerical data such as the speed (vehicle data), the point of gaze (driver data), or the current distance to lateral road marks (environmental data). In addition, Argos can record up to nine simultaneous video images which are synchronized with the alphanumerical data. Argos can also generate and record different kinds of in-car light and audio stimuli, allowing an experiment supervisor to interact or to schedule specific actions to take place during an experiment.
  • Keywords
    automated highways; behavioural sciences computing; road safety; Argos; IVDR; alphanumerical data; audio stimuli; car driver behavior experimentation; environmental data; incar light; invehicle data recorder; massively sensorized vehicle; traffic safety; Advanced Driver-Assistance Systems (ADAS); Advanced Vehicle Control and Safety Systems (AVCSS); driver behavior; feedback; in-vehicle data recorder (IVDR);
  • fLanguage
    English
  • Journal_Title
    Intelligent Transportation Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1524-9050
  • Type

    jour

  • DOI
    10.1109/TITS.2010.2046323
  • Filename
    5451111