• DocumentCode
    270034
  • Title

    Geo-referencing naturalistic driving data using a novel method based on vehicle speed

  • Author

    Balsa-Barreiro, José ; Valero-Mora, Pedro Miguel ; Pareja Montoro, Ignacio ; Sánchez Garcia, Mar

  • Author_Institution
    Math. Methods & Representation Dept., Univ. of A Coruna, Coruna, Spain
  • Volume
    7
  • Issue
    2
  • fYear
    2013
  • fDate
    Jun-13
  • Firstpage
    190
  • Lastpage
    197
  • Abstract
    Naturalistic driving is an experimentation model that allows us to recognise the driving modes observing the driver´s behaviour at the wheel of a set of people in natural conditions during long periods of observation. This research methodology aims at increasing the representativeness of the data collected in opposition to data stemming from highly controlled laboratory experiments. However, naturalistic driving research designs produce large volumes of data that are difficult to handle. Thus, it is very important to work with suitable methods for representing and interpreting data, allowing us to observe the variability of the results. The aim of this study is to implement a new methodology adapted to the particularities of the naturalistic method that allows us to retrieve the positioning information through a georeferencing process of the available data. This method is the first step (preprocessing) to achieve a more clear and intuitive representation (cartographic representation) using Geographic Information Systems (GIS).
  • Keywords
    behavioural sciences computing; data handling; geographic information systems; road safety; road traffic; traffic engineering computing; data georeferencing process; data interpretation; data representation; driver behaviour; driving mode; geo-referencing naturalistic driving data; geographic information system; naturalistic method; positioning information retrieval; vehicle speed;
  • fLanguage
    English
  • Journal_Title
    Intelligent Transport Systems, IET
  • Publisher
    iet
  • ISSN
    1751-956X
  • Type

    jour

  • DOI
    10.1049/iet-its.2012.0152
  • Filename
    6553413