Smooth S.T.R.O.L.L.ing

Level of Education of Students Involved

Undergraduate

Faculty Sponsor

Nicholas Rosasco

College

College of Arts & Sciences (CAS)

Discipline(s)

Commputing And Information Sciances

ORCID Identifier(s)

0009-0003-4129-0059; 0009-0005-6391-3063

Presentation Type

Poster Presentation

Symposium Date

Spring 4-30-2026

Abstract

S.T.R.O.L.L. (Sidewalk Terrain Roughness Observation Location Logger) is a cross-platform mobile application that crowdsources accelerometer and GPS data from child stroller walks or manual inputs to identify discontinuity and rough terrain in sidewalks and other pedestrian surfaces. The goal of this project is to highlight sections of sidewalk by providing accessible data locations that are in need of repair to improve pedestrian safety and accessibility. This data is intended to be shared with other pedestrians and civil authorities, particularly road and sidewalk maintenance personnel. Difficulties of its creation included detecting unreasonably rough terrain and managing difficult learning curves for development with React Native and MIT App Inventor with a limited amount of time.

Biographical Information about Author(s)

Nathanael Haines ‘28 is a sophomore majoring in computer science interested in IT

Max Kotelnikov ‘28 is a sophomore majoring in computer science, data science, and mathematics

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