Quantified Cycling Safety: Towards a mobile sensing platform to understand perceived safety of cyclists

  • Today’s level of cyclists’ road safety is primarily estimated using accident reports and self-reported measures. However, the former is focused on post-accident situations and the latter relies on subjective input. In our work, we aim to extend the landscape of cyclists’ safety assessment methods via a two-dimensional taxonomy, which covers data source (internal/external) and type of measurement (objective/subjective). Based on this taxonomy, we classify existing methods and present a mobile sensing concept for quantified cycling safety that fills the identified methodological gap by collecting data about body movements and physiological data. Finally, we outline a list of use cases and future research directions within the scope of the proposed taxonomy and sensing concept.

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Metadaten
Author:Andrii Matviienko, Florian HellerORCiD, Bastian Pfleging
DOI:https://doi.org/10.1145/3411763.3451678
ISBN:97814503809592105
Parent Title (English):Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems
Publisher:ACM
Place of publication:New York, NY
Document Type:Conference Proceeding
Language:English
Year of Completion:2021
Tag:crossing decision; cyclist safety; head movements; perceived safety
Article Number:262
Length:6 Seiten
Note:
CHI '21: CHI Conference on Human Factors in Computing Systems, Yokohama, Japan, May 8 - 13, 202
Link:https://doi.org/10.1145/3411763.3451678
Zugriffsart:weltweit
Institutes:FH Aachen / Fachbereich Elektrotechnik und Informationstechnik
collections:Verlag / ACM