ProxiCycle : Passively Mapping Cyclist Safety Using Smart Handlebars for Near-Miss Detection

要旨

Active transportation is a valuable tool to prevent some of the most common causes of mortality worldwide, but is severely underutilized. The primary factors preventing cyclist adoption are safety concerns, specifically, the fear of collision from automobiles. One solution to address this concern is to direct cyclists to known safe routes to minimize risk and stress, thus making cycling more approachable. However, few localized safety priors are available, hindering safety based routing. Specifically, road user behavior is unknown. To address this issue, we develop a novel handlebar attachment to passively monitor the proximity of passing cars as a an indicator of cycling safety along historically traveled routes. We deploy this sensor with 15 experienced cyclists in a 2 month longitudinal study to source a citywide map of car passing distance. We then compare this signal to both historic collisions and perceived safety reported by experienced and inexperienced cyclists.

著者
Joseph Breda
University of Washington, Seattle, Washington, United States
Keyu Chen
Apple Inc., Cupertino, California, United States
Thomas Ploetz
Georgia Institute of Technology, Atlanta, Georgia, United States
Shwetak Patel
University of Washington, Seattle, Washington, United States
DOI

10.1145/3706598.3713325

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713325

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Design for Physical Interactions

G318+G319
7 件の発表
2025-04-29 23:10:00
2025-04-30 00:40:00
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