[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1145/3597638.3614481acmconferencesArticle/Chapter ViewAbstractPublication PagesassetsConference Proceedingsconference-collections
poster
Public Access

BusStopCV: A Real-time AI Assistant for Labeling Bus Stop Accessibility Features in Streetscape Imagery

Published: 22 October 2023 Publication History

Abstract

Public transportation provides vital connectivity to people with disabilities, facilitating access to work, education, and health services. While modern navigation applications provide a suite of information about transit options—including real-time updates about bus or train arrivals—they lack data about the accessibility of the transit stops themselves. Bus stop features such as seatings, shelters, and landing areas are critical, but few cities provide this information. In this demo paper, we introduce BusStopCV, a Human+AI web prototype for scalably collecting data on bus stop features using real-time computer vision and human labeling. We describe BusStopCV’s design, custom training with the YOLOv8 model, and an evaluation of 100 randomly selected bus stops in Seattle, WA. Our findings demonstrate the potential of BusStopCV and highlight opportunities for future work.

References

[1]
2016. Stations & Stops. https://nacto.org/publication/transit-street-design-guide/stations-stops/
[2]
Marc A. Adams, Christine B. Phillips, Akshar Patel, and Ariane Middel. 2022. Training Computers to See the Built Environment Related to Physical Activity: Detection of Microscale Walkability Features Using Computer Vision. International Journal of Environmental Research and Public Health 19, 8 (April 2022), 4548. https://doi.org/10.3390/ijerph19084548
[3]
Saleema Amershi, Dan Weld, Mihaela Vorvoreanu, Adam Fourney, Besmira Nushi, Penny Collisson, Jina Suh, Shamsi Iqbal, Paul N. Bennett, Kori Inkpen, Jaime Teevan, Ruth Kikin-Gil, and Eric Horvitz. 2019. Guidelines for Human-AI Interaction. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. ACM, Glasgow Scotland Uk, 1–13. https://doi.org/10.1145/3290605.3300233
[4]
Apple. 2023. Maps - Apple. https://www.apple.com/maps/
[5]
The MARTA Army. [n. d.]. Operation Bus Stop Census. https://www.martaarmy.org/stop-census
[6]
Saurav Dev Bhatta and Matthew P. Drennan. 2003. The economic benefits of public investment in transportation: A review of recent literature. Journal of Planning Education and Research 22, 3 (2003), 288–296. ISBN: 0739-456X Publisher: Sage Publications Thousand Oaks, CA.
[7]
Michael Duan, Shosuke Kiami, Logan Milandin, Johnson Kuang, Michael Saugstad, Maryam Hosseini, and Jon E. Froehlich. 2022. Scaling Crowd+AI Sidewalk Accessibility Assessments: Initial Experiments Examining Label Quality and Cross-city Training on Performance. In The 24th International ACM SIGACCESS Conference on Computers and Accessibility. ACM, Athens Greece, 1–5. https://doi.org/10.1145/3517428.3550381
[8]
Google. 2023. Google Maps. https://www.google.com/maps
[9]
Andrea Hamre and Ralph Buehler. 2014. Commuter Mode Choice and Free Car Parking, Public Transportation Benefits, Showers/Lockers, and Bike Parking at Work: Evidence from the Washington, DC Region. Journal of Public Transportation 17, 2 (June 2014), 67–91. https://doi.org/10.5038/2375-0901.17.2.4
[10]
Kotaro Hara, Shiri Azenkot, Megan Campbell, Cynthia L. Bennett, Vicki Le, Sean Pannella, Robert Moore, Kelly Minckler, Rochelle H. Ng, and Jon E. Froehlich. 2015. Improving Public Transit Accessibility for Blind Riders by Crowdsourcing Bus Stop Landmark Locations with Google Street View: An Extended Analysis. ACM Transactions on Accessible Computing 6, 2 (March 2015), 1–23. https://doi.org/10.1145/2717513
[11]
Kotaro Hara, Vicki Le, and Jon Froehlich. 2013. Combining crowdsourcing and google street view to identify street-level accessibility problems. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems(CHI ’13). Association for Computing Machinery, New York, NY, USA, 631–640. https://doi.org/10.1145/2470654.2470744
[12]
Kotaro Hara, Jin Sun, Robert Moore, David Jacobs, and Jon Froehlich. 2014. Tohme: detecting curb ramps in google street view using crowdsourcing, computer vision, and machine learning. In Proceedings of the 27th annual ACM symposium on User interface software and technology(UIST ’14). Association for Computing Machinery, New York, NY, USA, 189–204. https://doi.org/10.1145/2642918.2647403
[13]
Maryam Hosseini, Mikey Saugstad, Fabio Miranda, Andres Sevtsuk, Claudio T. Silva, and Jon E. Froehlich. 2022. Towards Global-Scale Crowd+ AI Techniques to Map and Assess Sidewalks for People with Disabilities. arXiv preprint arXiv:2206.13677 (2022).
[14]
Junehyung Jeon and Ayoung Woo. 2023. Deep learning analysis of street panorama images to evaluate the streetscape walkability of neighborhoods for subsidized families in Seoul, Korea. Landscape and Urban Planning 230 (Feb. 2023), 104631. https://doi.org/10.1016/j.landurbplan.2022.104631
[15]
Jiyun Lee, Donghyun Kim, and Jina Park. 2022. A Machine Learning and Computer Vision Study of the Environmental Characteristics of Streetscapes That Affect Pedestrian Satisfaction. Sustainability 14, 9 (Jan. 2022), 5730. https://doi.org/10.3390/su14095730 Number: 9 Publisher: Multidisciplinary Digital Publishing Institute.
[16]
Todd Litman. 2012. Evaluating public transportation health benefits. Victoria Transport Policy Institute Victoria, BC, Canada.
[17]
Gerhard Neuhold, Tobias Ollmann, Samuel Rota Bulo, and Peter Kontschieder. 2017. The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes. In 2017 IEEE International Conference on Computer Vision (ICCV). IEEE, Venice, 5000–5009. https://doi.org/10.1109/ICCV.2017.534
[18]
National Association of City Transportation Officials. [n. d.]. Stations & Stops | National Association of City Transportation Officials. https://nacto.org/publication/transit-street-design-guide/stations-stops/
[19]
Roboflow. 2023. Roboflow: Give your software the power to see objects in images and video. https://roboflow.com/
[20]
Manaswi Saha, Michael Saugstad, Hanuma Teja Maddali, Aileen Zeng, Ryan Holland, Steven Bower, Aditya Dash, Sage Chen, Anthony Li, Kotaro Hara, and Jon Froehlich. 2019. Project Sidewalk: A Web-based Crowdsourcing Tool for Collecting Sidewalk Accessibility Data At Scale. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. ACM, Glasgow Scotland Uk, 1–14. https://doi.org/10.1145/3290605.3300292
[21]
Wayne Sarasua, Robert Awuah-Baffour, Bradley University, Mark Fawley, TRW, Carlton Byars, MARTA, Jeffery Orton, and Utah Transit Authority. 1997. Design and Development of a Bus Stop Inventory to Support an Intelligent Transportation System: The MARTA Experience. Journal of Public Transportation 1, 4 (Dec. 1997), 61–80. https://doi.org/10.5038/2375-0901.1.4.4
[22]
Ultralytics. 2023. Home - Ultralytics YOLOv8 Docs. https://docs.ultralytics.com/
[23]
Ultralytics. 2023. Train. https://docs.ultralytics.com/modes/train
[24]
King County Washington. 2017. Transit Stops for King County Metro / transitstop point. https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::transit-stops-for-king-county-metro-transitstop-point/about
[25]
Galen Weld, Esther Jang, Anthony Li, Aileen Zeng, Kurtis Heimerl, and Jon E. Froehlich. 2019. Deep Learning for Automatically Detecting Sidewalk Accessibility Problems Using Streetscape Imagery. In The 21st International ACM SIGACCESS Conference on Computers and Accessibility. ACM, Pittsburgh PA USA, 196–209. https://doi.org/10.1145/3308561.3353798
[26]
Haiying Zhou, Kun-Mean Hou, Decheng Zuo, and Jian Li. 2012. Intelligent Urban Public Transportation for Accessibility Dedicated to People with Disabilities. Sensors 12, 8 (Aug. 2012), 10678–10692. https://doi.org/10.3390/s120810678 Number: 8 Publisher: Molecular Diversity Preservation International.

Cited By

View all
  • (2024)The Future of Urban Accessibility: The Role of AIProceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3663548.3688550(1-6)Online publication date: 27-Oct-2024
  • (2024)The Development of Human-Centered Design in Public Transportation: A Literature ReviewHCI in Mobility, Transport, and Automotive Systems10.1007/978-3-031-60480-5_3(40-62)Online publication date: 29-Jun-2024

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences
ASSETS '23: Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility
October 2023
1163 pages
ISBN:9798400702204
DOI:10.1145/3597638
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 October 2023

Check for updates

Author Tags

  1. accessible transit systems
  2. bus stops
  3. computer vision
  4. crowdsourcing
  5. urban accessibility

Qualifiers

  • Poster
  • Research
  • Refereed limited

Funding Sources

Conference

ASSETS '23
Sponsor:

Acceptance Rates

ASSETS '23 Paper Acceptance Rate 55 of 182 submissions, 30%;
Overall Acceptance Rate 436 of 1,556 submissions, 28%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)174
  • Downloads (Last 6 weeks)41
Reflects downloads up to 20 Jan 2025

Other Metrics

Citations

Cited By

View all
  • (2024)The Future of Urban Accessibility: The Role of AIProceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3663548.3688550(1-6)Online publication date: 27-Oct-2024
  • (2024)The Development of Human-Centered Design in Public Transportation: A Literature ReviewHCI in Mobility, Transport, and Automotive Systems10.1007/978-3-031-60480-5_3(40-62)Online publication date: 29-Jun-2024

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Login options

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media