Automated Compliance Assessment for Sidewalks Using Machine Learning

Ayman Halabya, Khaled El-Rayes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

State and local governments are required by federal and state laws to provide and maintain accessibility for people with disabilities on their sidewalks and pedestrian facilities. They need to conduct and frequently update self-evaluation to assess the compliance of their sidewalks and pedestrian facilities with accessibility requirements and identify any barriers that limit or deny access for people with disabilities to public services, programs, or activities. This paper presents a framework that consists of two modules that are designed to (1) capture and document sidewalk conditions, and (2) assess the compliance of these sidewalks with accessibility requirements. The framework utilizes machine learning, photogrammetry, and point cloud analysis to automate the extraction of sidewalk dimensions and conditions from captured images and assesses their compliance with accessibility requirements. The framework is designed to support state and local government officials in automating and expediting the assessment of the existing conditions of their sidewalk networks.

Original languageEnglish (US)
Title of host publicationConstruction Research Congress 2020
Subtitle of host publicationComputer Applications - Selected Papers from the Construction Research Congress 2020
EditorsPingbo Tang, David Grau, Mounir El Asmar
PublisherAmerican Society of Civil Engineers
Pages288-295
Number of pages8
ISBN (Electronic)9780784482865
StatePublished - 2020
EventConstruction Research Congress 2020: Computer Applications - Tempe, United States
Duration: Mar 8 2020Mar 10 2020

Publication series

NameConstruction Research Congress 2020: Computer Applications - Selected Papers from the Construction Research Congress 2020

Conference

ConferenceConstruction Research Congress 2020: Computer Applications
CountryUnited States
CityTempe
Period3/8/203/10/20

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction

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