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Riding public transit can be confusing for everyone, especially in an unfamiliar environment. One needs to figure out which transportation lines to take to reach a destination, when and where to catch a bus or a train, when to exit, and how to negotiate transfers. For those with sensorial or cognitive disa- bilities, these problems become even more daunting. Several technological ap- proaches have been proposed to facilitate use of public transit for everyone. For any assistive technology to be successful, though, it is imperative that it is de- veloped from the ground up with a clear understanding of the intended users’ needs and requirements, and possibly with a direct participation of these users throughout the project lifecycle. In this study, we conduct a focus group with blind participants, designed to highlight the main issues, problems, and limita- tions with the current transit system in our local area as well as the perception of the participants our proposed RouteMe2 technology. We found two core categories of issues faced by blind travelers: (1) spatial/location awareness, and (2) temporal/ time awareness. Configurability and accessibility were the most desired features requested for a new transit information app.
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A SMART DECISION SUPPORT SYSTEM FOR PUBLIC TRANSIT OPERATIONS
This article presents an overview of the collaborative Transit Hub project between Vanderbilt University, the Nashville Metropolitan Transit Authority (MTA) and Siemens, Corporate Technology. This project commenced as part of the NIST Global Cities Team Challenge (GCTC). The goal of this project is to leverage technology effectively to improve public engagement with transit operations and increase the overall efficiency of the system. In the process we want to identify key technical challenges that will require new research to advance the state of the art.
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- Award ID(s):
- 1528799
- PAR ID:
- 10054143
- Date Published:
- Journal Name:
- Internet of Things and Data Analytics Handbook
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1002/9781119173601
