Individual motorcycling safety: creating a safety profile from riding data

Motorcycle riders are vulnerable road users, who suffer fatal accident outcomes at significantly higher rates than car drivers. Lifesaving assistance systems are considerably harder to integrate in the operation of a motorcycle, compared to the operation of a more predictably moving car. Here the authors present a methodology of estimating an individual rider's classifier of “risky” dynamics from their riding behaviour on several popular motorcycling routes in an experimental set up. Using clustering of common motions and data obtained at known accident sites, as well as an updating regime for the model fit to the individual rider, the authors are able to identify potential riding risks in an online methodology and determine the driving factors (i.e., the most relevant dynamics for a motion to be classified as risky) in the risk estimate, to potentially base interventions on.

• Record URL:
  • https://doi.org/10.1016/j.trpro.2023.11.460
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S2352146523007585
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/23521465
• Supplemental Notes:
  • © 2023 The Author(s). Published by Elsevier B.V. Abstract reprinted with permission of Elsevier.
• Authors:
  • Hula, Andreas
  • Schwieger, Klemens
  • Saleh, Peter
• Conference:
  • Transport Research Arena Conference (TRA Lisbon 2022)
  • Location: Lisbon , Portugal
  • Date: 2022-11-14 to 2022-11-17
• Publication Date: 2023

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 719-726
• Serial:
  • Transportation Research Procedia
  • Volume: 72
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 2352-1465
  • Serial URL: http://www.sciencedirect.com/science/journal/23521465/
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Motorcycle driving; Motorcycling; Motorcyclists; Risk assessment; Safety; Vehicle dynamics
• Subject Areas: Highways; Safety and Human Factors;

Filing Info

• Accession Number: 01907868
• Record Type: Publication
• Files: TRIS
• Created Date: Feb 12 2024 10:31AM