• DocumentCode
    5850
  • Title

    Understanding Bicycle Dynamics and Cyclist Behavior From Naturalistic Field Data (November 2012)

  • Author

    Dozza, Marco ; Fernandez, Alicia

  • Author_Institution
    Dept. of Appl. Mech., Chalmers Univ. of Technol., Goteborg, Sweden
  • Volume
    15
  • Issue
    1
  • fYear
    2014
  • fDate
    Feb. 2014
  • Firstpage
    376
  • Lastpage
    384
  • Abstract
    As technology advances, motorized vehicles employ newer, more intelligent systems to improve drivers´ safety and mobility. The evolution of these systems is supported by increasingly accurate models for driver behavior and vehicle dynamics. Despite the significant role of nonmotorized vehicles such as bicycles in traffic accidents, the evolution of in-vehicle intelligent systems has no counterpart for bicycles. Part of the reason is that, to date, models for bicyclist behavior are absent and models for bicycle dynamics are limited. This paper presents a platform for collecting field data from bicycles and shows how such data can support the development of intelligent systems by offering novel insights into bicycle dynamics and bicyclist behavior.
  • Keywords
    bicycles; road accidents; road traffic; vehicle dynamics; bicycle dynamics; bicyclist behavior; cyclist behavior; driver behavior; in-vehicle intelligent systems; intelligent systems; intelligent systems development; motorized vehicles; naturalistic field data; nonmotorized vehicles; traffic accidents; vehicle dynamics; Acceleration; Bicycles; Cameras; Sensor phenomena and characterization; Vehicle dynamics; Bicycle dynamics; bicyclist behavior; cycling safety; intelligent systems; naturalistic data; vulnerable road users;
  • fLanguage
    English
  • Journal_Title
    Intelligent Transportation Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1524-9050
  • Type

    jour

  • DOI
    10.1109/TITS.2013.2279687
  • Filename
    6595621