Wi-City - Living, Deciding and Planning using Mobiles in Intelligent Cities

Alfio Costanzo, Alberto Faro, Daniela Giordano

2013

Abstract

The current GPS navigational systems are mainly developed with a proprietary approach based on incomplete information and behave as general purpose information systems based on average traffic data. On the contrary, effective location based services should be based on real time traffic information and should take into account all the databases available at urban scale to help decision making and planning of the mobile users. This paper aims at illustrating how a prototypical distributed information system, called Wi-City, may help people in living, deciding and planning in cities where collective and cooperative intelligence systems will be more and more adopted by the citizens. Indeed, Wi-City is a next generation ubiquitous information system available over an open/interoperable platform to support mobile user decisions by taking advantage from real time data and all the information available on the different databases at urban scale, including the ones stored on the user mobiles.

References

  1. Berthon B., et al., Building and Managing an Intelligent City, online, 2011.
  2. Corlan M., Adobe Flash Platform, Adobe, 2009.
  3. Costanzo A., Faro A., Giordano D., Spampinato C., Context Aware Services for Mobile Users: JQMobile vs Flash Builder Implementations, IEEE Proc. of the Federated Conference on Computer Science and Information Systems, Fedcsis, Wroclaw, 2012.
  4. Costanzo A., Faro A., Giordano D., Venticinque M., WiCity: A federated architecture of metropolitan databases to support mobile users in real time, Int. Conf. on Computer and Information Science, ICCIS 2012, A Conference of World Engineering, Science and Technology Congress, ESTCON 2012, Kuala Lumpur, 2012.
  5. Costanzo A., Faro A., Spampinato C., Location Intelligence Services for Mobiles using Ruby on Rails and JQueryMobile, Proc. of the 8th Int. Conf. on Web Information Systems and Technology (WEBIST), INSTICC, 2012.
  6. Crisafi A., Giordano D., Spampinato C., Griplab 1.0 : Grid image processing laboratory for distributed machine vision applications, Proceedings of the Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE, 188-191, 2008
  7. David M., Developing Websites with jQuery Mobile, Focal, 2011
  8. Di Salvo R., Faro A., Giordano D., Spampinato C., People flow control using cellular automata and computer vision technologies, Advances in Intelligent and Soft Computing, Volume 159 AISC, Issue1, 2012, Pages 95-104, Future Computer and Control Systems, FCCS, 2012
  9. Dubberly Design Office, The Model-View-Controller Pattern in a Rails-Based Web Server, http://www.dubberly.com/wp-content/uploads/2011/ 04/ DDO_Article _MVC_ Pattern.pdf, 2011
  10. Quilits B., Leser U., Querying distributed RDF data sources with SPARQL, Proc. of the 5th European semantic web Conf. on the semantic web, 2008
  11. Faro A., Giordano D., Spampinato C., Integrating Location Tracking, Traffic Monitoring and Semantics in a Layered ITS Architecture. Intelligent Transport Systems, IET, vol.5(3), 197-206, 2011
  12. Faro A., Giordano D. Spampinato C., Adaptive background modelling integrated with luminosity sensors and occlusion processing for reliable vehicle detection. IEEE Transactions on Intelligent Transportation Systems. Vol.12(4), 1398-1412, 2011
  13. Faro A., Giordano D., Spampinato C.: Evaluation of the Traffic Parameters in a Metropolitan Area by Fusing Visual Perceptions and CNN Processing of Webcam Images, IEEE Transactions on Neural Networks, Vol. 19 (6), 1108-1129, 2008.
  14. Hartl M., Ruby on Rails 3, Addison Wesley, 2011
  15. Joseph A.D., (ed.), Urban Computing and Mobile Devices. IEEE Pervasive Computing, Vol.6 (3), 2007
  16. Leduc, G., Road Traffic Data: Collection Methods and Applications, Working Papers on Energy, Transport and Climate Change, N.1, JRC European Commission, 47967, 2008
  17. Wang P. P., 2001. Computing with words. Wiley Inderscience, 2001
  18. Zhai, J., Jiang, J., Yu, Y. and Li, J.: Ontology-based Integrated Information Platform for Digital City, IEEE Proc. of Wireless Communications, Networking and Mobile Comp., WiCOM 7808, 2008.
Download


Paper Citation


in Harvard Style

Costanzo A., Faro A. and Giordano D. (2013). Wi-City - Living, Deciding and Planning using Mobiles in Intelligent Cities . In Proceedings of the 3rd International Conference on Pervasive Embedded Computing and Communication Systems - Volume 1: PECCS, ISBN 978-989-8565-43-3, pages 98-103. DOI: 10.5220/0004340500980103


in Bibtex Style

@conference{peccs13,
author={Alfio Costanzo and Alberto Faro and Daniela Giordano},
title={Wi-City - Living, Deciding and Planning using Mobiles in Intelligent Cities},
booktitle={Proceedings of the 3rd International Conference on Pervasive Embedded Computing and Communication Systems - Volume 1: PECCS,},
year={2013},
pages={98-103},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004340500980103},
isbn={978-989-8565-43-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Pervasive Embedded Computing and Communication Systems - Volume 1: PECCS,
TI - Wi-City - Living, Deciding and Planning using Mobiles in Intelligent Cities
SN - 978-989-8565-43-3
AU - Costanzo A.
AU - Faro A.
AU - Giordano D.
PY - 2013
SP - 98
EP - 103
DO - 10.5220/0004340500980103