Building Smart Transportation Hubs with 3D Vision and Video Technologies to Improve Services to People with Disabilities
Large transportation hubs are difficult to navigate, especially for people with disabilities such as those with visual or mobility impairment, Autism Spectrum Disorder (ASD), or simply those with navigation challenges. The primary objective of this research is to design and develop a novel cyber-physical infrastructure that can effectively and efficiently transform existing transportation hubs into smart facilities capable of providing better location-aware services (e.g. finding terminals, improving travel experience, obtaining security alerts). The authors investigated the integration of a number of novel Internet of Things elements, including video analytics, low-cost Bluetooth beacons, mobile computing, and LiDAR-scanned 3D semantic models, to provide reliable indoor navigation services to people with traveling challenges, yet requiring minimum infrastructure changes since the authors' approach leverages existing cyberinfrastructures such as surveillance cameras, facility models, and mobile phones, and incorporates a minimum number of new and small devices such as beacons to achieve reliable navigation services. The authors choose two groups of people for the authors' initial study– those with visual impairment and ASD since both groups face difficulties in a crowded and complex 3D environment. Thus two unique features of the authors' solution are the use of 3D digital semantic models and crowd analysis with surveillance cameras for providing the best available paths. The authors have started a pilot test with people with disabilities at a multi-floor building in New York City to demonstrate the effectiveness of the proposed framework.
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Supplemental Notes:
- This paper was sponsored by TRB committee ABE60 Standing Committee on Accessible Transportation and Mobility. Alternate title: Building Smart Transportation Hubs with Internet of Things to Improve Services to People with Special Needs.
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Corporate Authors:
500 Fifth Street, NW
Washington, DC United States 20001 -
Authors:
- Gong, Jie
- Feeley, Cecilia
- Tang, Hao
- Olmschenk, Greg
- Nair, Vishnu
- Zhou, Zixiang
- Yu, Yi
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0000-0002-2553-8603
- Yamamoto, Ken
- Zhu, Zhigang
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Conference:
- Transportation Research Board 96th Annual Meeting
- Location: Washington DC, United States
- Date: 2017-1-8 to 2017-1-12
- Date: 2017
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: 14p
- Monograph Title: TRB 96th Annual Meeting Compendium of Papers
Subject/Index Terms
- TRT Terms: Bus terminals; Internet of things; Location; Pedestrian detectors; Persons with disabilities; Rail transit stations; Trajectory control; Wayfinding
- Uncontrolled Terms: Cyber physical systems
- Subject Areas: Public Transportation; Safety and Human Factors; Terminals and Facilities;
Filing Info
- Accession Number: 01632163
- Record Type: Publication
- Report/Paper Numbers: 17-02576
- Files: TRIS, TRB, ATRI
- Created Date: Apr 5 2017 9:57AM