@inproceedings{10.1145/3589132.3628366,
author = {Koh, Chan Young and Hendawi, Abdeltawab},
title = {Towards Disability-Aware Sidewalk Routing},
year = {2023},
isbn = {9798400701689},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3589132.3628366},
doi = {10.1145/3589132.3628366},
abstract = {This study presents a novel approach to designing a system for disability-aware sidewalk routing that considers the specific needs and preferences of individuals with mobility impairments. The study involves creating a multi-objective personalized routing service that uses multi-sensors and an artificial intelligence fusion approach to identify sidewalk distresses on a surface level. The preliminary model is used to rapidly deploy big spatial data management systems, providing the Department of Transportation (DoT) and Americans with Disabilities Act (ADA)-compliant services to various desired domains. This research contributes to the broader goal of creating smarter and more inclusive cities by harnessing technology to address the unique mobility requirements of all community members.},
booktitle = {Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems},
articleno = {5},
numpages = {2},
keywords = {smart navigation, feature detection, sidewalk mapping},
location = {Hamburg, Germany},
series = {SIGSPATIAL '23}
}