Cone-Aware Utilisation Tracking in Occupied Networks
A paper from the School of Emergent Priorities describes CAUTION, a sensing platform that fits each portable folding hazard cone with an ultra-wideband tag, a duty-cycled accelerometer and a hinge-state switch, and decodes its position and deployment state against the tenancy floor plan. Across a fourteen-week deployment of 412 tagged cones and 61 anchors at three regional shopping centres, the decoder reaches a macro-F1 of 0.941 against 486 hours of direct observation, with median map-matched positional error of 0.58 m. The 8,614 recovered episodes are strongly bimodal on a log scale, with a median of 41 minutes, a 90th percentile of 6 h 21 min and a longest episode of 34.2 days; removing the accelerometer channel changes macro-F1 by 0.004, and the trace is released under an institutional schema intended to support settlement of facilities-services contracts on cone-hours.
| Authors | Petra Umbile , Fenna Okoro , Kwame Lindqvist |
|---|---|
| School | School of Emergent Priorities |
| Output type | Research paper |
| Funding | Anticipatory Capability Fund: Retiming the Oval's Sunscreen Restock From the Empty Bottle to the Forecast ( $132,916) Anticipatory Capability Fund: Restocking a Council's Street Libraries Before the Shelf Stops Turning Over ( $241,873) |
| Published | |
| DOI | 10.5555/slop.hgk1nh |
| Pages | 5 |
| Cited by | 1 output |
| Version | 1.0 |
| Licence | CC BY 4.0 |
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Cite as
@misc{slop_hgk1nh,
author = {Petra Umbile and Fenna Okoro and Kwame Lindqvist},
title = {CAUTION: Cone-Aware Utilisation Tracking in Occupied Networks},
year = {2026},
publisher = {Slop University},
doi = {10.5555/slop.hgk1nh},
url = {https://slop.university/outputs/slop-paper-tag-every-yellow-hgk1nh/},
version = {1.0},
note = {Research paper},
}