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Accessible Transportation Technologies Research Initiative (ATTRI): Innovation Scan

Joseph Andrew Giampapa, Aaron Steinfeld, Ermine Teves, M. Bernardine Dias and Zachary Rubinstein
Tech. Report, CMU-RI-TR-17-16, Robotics Institute, Carnegie Mellon University, April, 2017

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The Accessible Transportation Technologies Research Initiative (ATTRI) focuses on research to
improve the independent mobility of travelers with disabilities through the use of ITS and other
advanced technologies. This report is one of three intended to provide an overview of
technologies, innovations, and research that are applicable to the ATTRI vision. The particular
focus of this report is an Innovation Scan [INNO], to survey technologies that have been
recently introduced to public use and are being evaluated for effectiveness in select test
markets prior to deployment at larger scales. User experiences with INNO technologies either
represent the segment of the test market user population or are based on reports by the
organization that is introducing the technology.

The overall organization of this report mirrors the overall organization of the ATTRI effort. ATTRI
focuses on five technology areas to improve transportation for persons of its three stakeholder
groups – people with disabilities, veterans with disabilities, and older adults: (1) Wayfinding and
Navigation, (2) ITS and Assistive Technologies, (3) Automation and Robotics, (4) Data
Integration, and (5) Enhanced Human Service Transportation. Review of each of the five
technology areas considers the applicability of such technologies to four transportation
modalities that ATTRI stakeholders encounter: (1) Transit, (2) Personal Vehicles, (3) First / Last
Mile, and (4) Pedestrian. Where necessary, a cross-cutting modality category is also included.

author = {Joseph Andrew Giampapa and Aaron Steinfeld and Ermine Teves and M. Bernardine Dias and Zachary Rubinstein},
title = {Accessible Transportation Technologies Research Initiative (ATTRI): Innovation Scan},
year = {2017},
month = {April},
institution = {Carnegie Mellon University},
address = {Pittsburgh, PA},
number = {CMU-RI-TR-17-16},
keywords = {Accessible transportation, technology, community travel, international scan, innovations},
} 2017-09-13T10:38:08-04:00