TY - GEN
T1 - Building smart and accessible transportation hubs with internet of things, big data analytics, and affective computing
AU - Gong, Jie
AU - Feeley, Cecilia
AU - Tang, Hao
AU - Olmschenk, Greg
AU - Nair, Vishnu
AU - Zhou, Zixiang
AU - Yu, Yi
AU - Yamamoto, Ken
AU - Zhu, Zhigang
N1 - Funding Information:
This research was performed under two appointments (one for Zhu/Gong and one for Tang) to the U.S. Department of Homeland Security (DHS) Science & Technology (S&T) Directorate Office of University Programs Summer Research Team Program for Minority Serving Institutions, administered by the Oak Ridge Institute for Science and Education (ORISE) through an interagency agreement between the U.S. Department of Energy (DOE) and DHS. ORISE is managed by ORAU under DOE contract number DE-SC0014664. This work is supported in part by the National Science Foundation through Award EFRI -1137172, VentureWell (formerly NCIIA) through Award 10087-12, NIST/US Ignite Global City Teams Challenges(GCTC) . The work is also supported by Rutgers Center for Advanced Infrastructure and Transportation – a national University Transportation Research Center supported by USDOT. We would like to thank the following individuals for their partnerships in the GCTC effort: Barbara Campbell of the NYS Commission for the Blind, William H. Seiple of Lighthouse Guild, Ed Hoff of NJ Transit and Michael Lysicatos of Passaic County Department of Planning & Economic Development. All opinions expressed in this paper are the authors’ and do not necessarily reflect the policies and views of DHS, DOE, NSF, USDOT, VentureWell or ORAU/ORISE
PY - 2017
Y1 - 2017
N2 - Large transportation hubs are difficult to navigate, especially for people with special needs such as those with visual 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. We investigated the integration of a number of Internet of Things (IoT) elements, including video analytics, Bluetooth beacons, mobile computing, and facility semantic models, to provide reliable indoor navigation services to people with special needs, yet requiring minimum infrastructure changes. Our pilot tests with people with special needs at a multi-floor building in New York City has demonstrated the effectiveness of our proposed framework.
AB - Large transportation hubs are difficult to navigate, especially for people with special needs such as those with visual 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. We investigated the integration of a number of Internet of Things (IoT) elements, including video analytics, Bluetooth beacons, mobile computing, and facility semantic models, to provide reliable indoor navigation services to people with special needs, yet requiring minimum infrastructure changes. Our pilot tests with people with special needs at a multi-floor building in New York City has demonstrated the effectiveness of our proposed framework.
UR - http://www.scopus.com/inward/record.url?scp=85035123439&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85035123439&partnerID=8YFLogxK
U2 - 10.1061/9780784481219.012
DO - 10.1061/9780784481219.012
M3 - Conference contribution
AN - SCOPUS:85035123439
T3 - International Conference on Sustainable Infrastructure 2017: Technology - Proceedings of the International Conference on Sustainable Infrastructure 2017
SP - 126
EP - 138
BT - International Conference on Sustainable Infrastructure 2017
A2 - Soibelman, Lucio
A2 - Pena-Mora, Feniosky
PB - American Society of Civil Engineers (ASCE)
T2 - 2017 International Conference on Sustainable Infrastructure: Technology, ICSI 2017
Y2 - 26 October 2017 through 28 October 2017
ER -