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.
Author: | Andrii Matviienko, Florian HellerORCiD, Bastian Pfleging |
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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 |