IEEE Consumer Electronics Magazine - May 2018 - 37

Figure 7. The trace vehicle map in iTour.

volunTeeR maP
In the volunteer map view, a volunteer can view a tourist's
details. When a volunteer receives a request from a tourist, he
or she can verify the details through this view.

veHIcle maP
In the vehicle map view, the vehicle in charge will set the starting and ending point and its route on the smart map. The onroad sensors will automatically update the current position of
the vehicle, and this will be used by iTour to provide vehicle
assistance. (It can be also used for booking tickets.)

emeRGency HelP
The tourist can use the emergency help option if needed.
When the help option is pressed, the tourist's smart device is
connected to all emergency services, such as a PCR, the hospital, and the tourist department. The authority can then take
the necessary steps required.

ConCluSion
Tourism is one of the major components in economic growth
for many countries. Because of the lack of coordinated services, tourism has suffered. In this article, iTour, a Java-based
IoT framework, was presented. In iTour, the citizens of a
smart city can participate in tourism development. The technology acts as a tool for the city administrator in facilitating
the cooperation and coordination of tourist activity in a city
and uses data-mining techniques to prepare the city for future
tourism. iTour's effectiveness is being proven by involving all
stakeholders with an in-depth evaluation in smart cities.

about the authorS
Ajaya K. Tripathy (ajayatripathy1@silicon.ac.in) is an assistant
professor with the Department of Computer Science and Engineering at Silicon Institute of Technology, Bhubaneswar, India.
His research interests include service-oriented architecture and
machine learning.
Pradyumna K. Tripathy (ptripathy@silicon.ac.in) is an
assistant professor with the Department of Computer Science
and Engineering at Silicon Institute of Technology, Bhubaneswar, India. His research interests include distributed
computing and machine learning.

Niranjan K. Ray (rayniranjan@gmail.com) is an associate
professor with the School of Computer Engineering at Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha,
India. His research interests include wireless sensor networks
and the Internet of Things. He is an associate editor of IEEE
Consumer Electronics Magazine.
Saraju P. Mohanty (saraju.mohanty@unt.edu) is a professor with the University of North Texas, Denton. His research
interests include smart electronic systems, which has been
funded by National Science Foundations, Semiconductor
Corporation, and the U.S. Air Force. He has authored 250
research articles, three books, and four U.S. patents. He is the
editor-in-chief of IEEE Consumer Electronics Magazine and
the chair of the Technical Committee on Very Large Scale
Integration of the IEEE Computer Society.

reFerenCeS
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MAy 2018

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IEEE Consumer Electronics Magazine

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http://www.smohanty.org/Presentations/2017/Mohanty_MAMI-2017_Keynote_Smart-Cities.pdf http://www.smohanty.org/Presentations/2017/Mohanty_MAMI-2017_Keynote_Smart-Cities.pdf https://cesoc.ieee.org/images/files/pdf/Mohanty_IEEE-DL_Smart-Cities.pdf https://cesoc.ieee.org/images/files/pdf/Mohanty_IEEE-DL_Smart-Cities.pdf http://www.bbc.com/news/business-28796280 http://www.bbc.com/news/business-28796280
Table of Contents for the Digital Edition of IEEE Consumer Electronics Magazine - May 2018
