Article

PARTICIPATORY SENSING FOR PUBLIC TRANSPORTATION INFORMATION SERVICE

Author(s):

T.R.P.Monisha, K.L.N. College of Engineering; N.Nandhini ,; S.S.Aarthy ,; R.Aarthy ,

Keywords

android application, crowdsourcing, Traffic Info, Traffic updates

Abstract

Mobile phones emergence has brought about a huge impact in today’s technology. Especially smart phones play a major role in everyday life. This advantage is used in public transportation service. Public transportation in India has always had its indigenous issues which have proven to be fatal to many. This issue is addressed here. Here the front end is a Traffic Info application which is a peer to peer application which helps in knowing the public transportation status. It is a simple and easy-to-use Android application which visualizes real-time public transport information of the given city on Google Maps. Crowd sensing helps to make travelling easier and sophisticated. The lively updates are assisted by service provider. We use generic publish/subscribe communication model in our framework to implement interactions. Traffic Info is built upon Extensible Messaging and Presence Protocol (XMPP) based communication framework. The significant features of Traffic Info are Visualization, Information Sharing and Sensing

Reference

    [1] https://en.wikipedia.org/wiki/List_of_countries_by_number_of_mobile_phones_in_use [2] http://yourstory.com/2015/07/mobile-internet-report-2015/ [3] R. Ganti, F. Ye, and H. Lei, “Mobile Crowdsensing: CurrentState and Future Challenges,” IEEE Commun. Mag., Nov. 2011, pp. 32–39. [4] http://www.json.org/ [5] T. Bray et al., Extensible Markup Language (XML) 1.0 (Fifth Edition), W3C, W3C Recommendation REC-xml-20081126, Nov. 2008, http://www.w3.org/TR/2008/RECxml-20081126/. [6] P. Zhou et al., “How Long to Wait?: Predicting Bus Arrival Time with Mobile Phone based Participatory Sensing,” Proc. 10th Int’l. Conf. Mobile Systems, Applications, and Services (MobiSys 2012), June 2012. [7] L. Bedogni, M. Di Felice, and L. Bononi, “By Train or by Car? Detecting the User's Motion Type Through Smartphone Sensors Data,” Proc. IFIP Wireless Days Conf. (WD 2012), 2012, pp. 1–6.

Other Details

Paper ID: GRDCF002041
Published in: Conference : International Conference on Innovations in Engineering and Technology (ICIET - 2016)
Page(s): 193 - 197

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