Smart Space-Based in-Vehicle Application for e-Tourism

Technological Framework and Implementation for Ford SYNC
  • Alexander Smirnov
  • Alexey Kashevnik
  • Nikolay Shilov
  • Andrew Ponomarev
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8638)


Recently, the development of in-vehicle services has become more and more popular. Many people spend a lot of time in vehicles and producers propose new in-vehicles systems to provide information for drivers and entertain them. Drivers travel from one location to another and usually would like to know information about places of interests around. Integration of e-tourism services with vehicle multimedia system opens new possibilities for delivering useful information about places of interests around to the driver. The paper presents a technological framework and implementation of mobile tourist guide and in-vehicle system integration (on the example of Ford SYNC system). The system consists of several services that find, extract and process potentially useful for the tourist information about places of interests around and provide it through user-friendly vehicle interface. The smart space technology is used for providing interaction possibilities and interoperability of these service.


smart space e-tourism in-vehicle systems mobile devices 


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  1. 1.
    Cook, D.J., Das, S.K.: How smart are our environments? an updated look at the state of the art. Pervasive and Mobile Computing 3(2), 53–73 (2007)CrossRefGoogle Scholar
  2. 2.
    Balandin, S., Waris, H.: Key properties in the development of smart spaces. In: Stephanidis, C. (ed.) UAHCI 2009, Part II. LNCS, vol. 5615, pp. 3–12. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  3. 3.
    Kiljander, J., Ylisaukko-oja, A., Takalo-Mattila, J., Eteläperä, M., Soininen, J.-P.: Enabling semantic technology empowered smart spaces. Computer Networks and Communications 2012 (2012)Google Scholar
  4. 4.
    Ovaska, E., Cinotti, T.S., Toninelli, A.: The design principles and practices of interoperable smart spaces. In: Advanced Design Approaches to Emerging Software Systems: Principles, Methodologies, and Tools, pp. 18–47. IGI Global (2012)Google Scholar
  5. 5.
    Korzun, D.G., Balandin, S.I., Gurtov, A.V.: Deployment of Smart Spaces in Internet of Things: Overview of the Design Challenges. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds.) NEW2AN/ruSMART 2013. LNCS, vol. 8121, pp. 48–59. Springer, Heidelberg (2013)Google Scholar
  6. 6.
  7. 7.
    Honkola, J., Laine, H., Brown, R., Tyrkko, O.: Smart-M3 Information Sharing Platform. In: Proc. ISCC 2010, pp. 1041–1046. IEEE Comp. Soc. (2010)Google Scholar
  8. 8.
    Resource Description Framework (RDF). W3C standard,
  9. 9.
    Klampfl, E., Gusikhin, O., Theisen, K., Liu, Y., Giuli, T.J.: Intelligent Refueling Advisory System. In: Proceedings of 2nd Workshop on Intelligent Vehicle Control Systems, pp. 60–72 (2008)Google Scholar
  10. 10.
    Smirnov, A., Kashevnik, A., Shilov, N., Makklya, A., Gusikhin, O.: Context-Aware Service Composition in Cyber Physical Human System for Transportation Safety. In: Proceedings of the 13th International Conference on ITS Telecommunications (ITST 2013), Tampere, Finland, pp. 139–144 (2013)Google Scholar
  11. 11.
    Bader, R., Neufeld, E., Worndl, W., Prinz, V.: Context-aware POI recommendations in an automotive scenario using multi-criteria decision making methods. In: Workshop on Context- awareness in Retrieval and Recommendation, Palo Alto, CA, pp. 23–30 (2011)Google Scholar
  12. 12.
    Smirnov, A., Kashevnik, A., Balandin, S.I., Laizane, S.: Intelligent Mobile Tourist Guide: Context-Based Approach and Implementation. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds.) NEW2AN/ruSMART 2013. LNCS, vol. 8121, pp. 94–106. Springer, Heidelberg (2013)Google Scholar
  13. 13.
    Kenteris, M., Gavalas, D., Economou, D.: Evaluation of Mobile Tourist Guides, In: Lytras, M.D., Carroll, J.M., Damiani, E., Tennyson, R.D., Avison, D., Vossen, G., De Pablos, P.O. (eds.) WSKS 2008. CCIS, vol. 19, pp. 603–610. Springer, Heidelberg (2008)Google Scholar
  14. 14.
    Baus, J., Cheverst, K., Kray, C.: A Survey of Map-based Mobile Guides. In: Map-based Mobile Services, pp. 193-209 (2005)Google Scholar
  15. 15.
    Schwinger, W., Grun, C., Proll, B., Retschitzegger, W., Schauerhuber, A.: Context-Awareness in Mobile Tourist Guides. In: Handbook of Research on Mobile Multimedia, 2nd edn., p. 19 (2009)Google Scholar
  16. 16.
    van Setten, M., Pokraev, S., Koolwaaij, J.: Context-Aware Recommendations in the Mobile Tourist Application COMPASS. In: De Bra, P.M.E., Nejdl, W. (eds.) AH 2004. LNCS, vol. 3137, pp. 235–244. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  17. 17.
    Al-Rayes, K., Sevkli, A., Al-Moaiqel, H., Al-Ajlan, H., Al-Salem, K., Al- Fantoukh, N.: A Mobile Tourist Guide for Trip Planning. IEEE Multidisciplinary Engineering Education Magazine 6(4), 1–6 (2011)Google Scholar
  18. 18.
  19. 19.
    Foursquare application,
  20. 20.
  21. 21.
    Smart Museum,
  22. 22.
    Google Play Market, My Tourist Guide application,
  23. 23.
    Vdovenko, A., Lukovnikova, A., Marchenkov, S., Sidorcheva, N., Polyakov, S., Korzun, D.: World Around Me Client for Windows Phone Devices. In: Proc. 11th FRUCT Conf., pp. 206–208 (2012)Google Scholar
  24. 24.
    Smirnov, A., Kashevnik, A., Ponomarev, A., Shilov, N., Shchekotov, M., Teslya, N.: Recommendation System for Tourist Attraction Information Service. In: Proc. FRUCT Conf., pp. 140–147 (2013)Google Scholar
  25. 25.
    Balabanovic, M., Shoham, Y.: Fab: Content-based, Collaborative Recommendation. Communications of the ACM 40(3), 66–72 (1997)CrossRefGoogle Scholar
  26. 26.
    Adomavicius, G., Mobasher, B., Ricci, F., Tuzhilin, A.: Context-aware recommender systems. AI Magazine 32(3), 67–80 (2011)Google Scholar
  27. 27.
    Smirnov, A., Pashkin, M., Chilov, N., Levashova, T.: Constraint-driven methodology for context-based decision support. Design, Building and Evaluation of Intelligent DMSS 14(3), 279–301 (2005)Google Scholar
  28. 28.
    International Data Corporation (IDC), Press Release, Android and iOS Combine for 91.1% of the Worldwide Smartphone OS Market in 4Q12 and 87.6% for the Year,
  29. 29.
    World Weather Online,

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Alexander Smirnov
    • 1
    • 2
  • Alexey Kashevnik
    • 1
  • Nikolay Shilov
    • 1
  • Andrew Ponomarev
    • 1
  1. 1.SPIIRASSt. PetersburgRussia
  2. 2.ITMO UniversitySt. PetersburgRussia

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