“Connected Car”-Based Customised On-Demand Tours: The Concept and Underlying Technologies

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9870)

Abstract

Wide spreading of such concepts as ubiquitous computing, connectivity, cyberphysical systems, Internet of Things opens various possibilities both in increasing the human productivity in various tasks and developing new business models that allow companies to transform from product suppliers to service providers or even to virtual companies acting as brokers. The paper proposes a concept of customised on-demand tours by cars or minivans as one of the phenomena of the above transformation. It also describes the technological basis underlying the concept and explains the proposed scenario via an illustrative case study.

Keywords

Connected car On-demand tour Service Technological basis 

Notes

Acknowledgements

The presented results are part of the research carried out within the project funded by grants #15-07-08092, 15-07-08391, 16-07-00375, 16-07-00375 of the Russian Foundation for Basic Research. The work has been partially financially supported by the Government of Russian Federation, Grant 074-U01.

References

  1. 1.
    Bryson, J.R., Daniels, P.W. (eds.): Handbook of Service Business: Management, Marketing, Innovation and Internationalisation. Edward Elgar Publishing, Cheltenham (2015)Google Scholar
  2. 2.
    The Wall Street Journal (2016). http://www.wsj.com/
  3. 3.
    Artigues, C., Deswarte, Y., Guiochet, J., et al.: AMORES: an architecture for mobiquitous resilient systems. In: ARMOR 2012 Proceedings of the 1st European Workshop on AppRoaches to MObiquiTous Resilience, pp. 7:1–7:6. ACM (2012)Google Scholar
  4. 4.
    Ambrosino, G., Nelson, J.D., Bastogi, B., Viti, A., Romazzotti, D., Ercoli, E.: The role and perspectives of the large-scale Flexible Transport Agency in the management of public transport in urban areas. In: Ambrosino, G., Boero, M., Nelson, J.D., Romanazzo, M. (eds.) Infomobility Systems and Sustainable Transport Services, ENEA 2010, pp. 156–165 (2010)Google Scholar
  5. 5.
    Manyika, J., Chui, M., Bughin, J., Dobbs, R., Bisson, P., Marrs, A.: Disruptive Technologies: Advances that will Transform Life, Business, and the Global Economy: Executive Summary. McKinsey Global Institute, San Francisco (2013). 22 p. http://www.mckinsey.com/ Google Scholar
  6. 6.
    Balandina, E., Balandin, S., Koucheryavy, Y., Mouromtsev, D.: Innovative e-tourism services on top of Geo2Tag LBS platform. In: The 11th International Conference on Signal Image Technology and Internet Systems (SITIS 2015), Bangkok, Thailand, pp. 752–759 (2015)Google Scholar
  7. 7.
    Modsching, M., Kramer, R., ten Hagen, K., Gretzel, U.: Effectiveness of mobile recommender systems for tourist destinations: a user evaluation. In: Yorke-Smith, N. (ed.) Interaction Challenges for Intelligent Assistants: Papers from the AAAI Spring Symposium, Technical report SS-07-04, pp. 88–89 (2007)Google Scholar
  8. 8.
    Bader, R., Siegmund, O., Woerndl, W.: A study on user acceptance of proactive in-vehicle recommender systems. In: 3rd International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2011), pp. 47–54 (2011)Google Scholar
  9. 9.
    Price, E.: Travel apps that can replace your tour guide (2015). http://www.cntraveler.com/stories/2015-02-24/travel-apps-that-can-replace-your-tour-guide
  10. 10.
    Cowen, B.: A personal tour guide – almost everywhere – for $9.99 or less! (2015). http://www.johnnyjet.com/2015/01/a-personal-tour-guide-almost-everywhere-for-9-99-or-less/
  11. 11.
    Smirnov, A., Kashevnik, A., Ponomarev, A., Shilov, N., Teslya, N.: Proactive recommendation system for m-tourism application. In: Johansson, B., Andersson, B., Holmberg, N. (eds.) BIR 2014. LNBIP, vol. 194, pp. 113–127. Springer, Heidelberg (2014)Google Scholar
  12. 12.
    Gerhardt, T.: 3 Ways Multi-Modal Travel is Tricky for App Developers (2015). http://mobilitylab.org/2015/03/10/3-ways-multi-modal-travel-is-tricky-for-app-developers/
  13. 13.
    Staab, S., Werthner, H., Ricci, F., Zipf, A., Gretzel, U., Fesenmaier, D.R., et al.: Intelligent systems for tourism. IEEE Intell. Syst. 17(6), 53–64 (2002)CrossRefGoogle Scholar
  14. 14.
    Hasuike, T., Katagiri, H., Tsubaki, H., Tsuda, H.: Interactive approaches for sightseeing route planning under uncertain traffic and ambiguous tourist’s satisfaction. In: Eto, H. (ed.) New Business Opportunities in the Growing e-Tourism Industry, pp. 75–96. Business Science Reference, Hershey (2015)CrossRefGoogle Scholar
  15. 15.
    Shim, H.B.: The technology of connected car. J. Korea Inst. Inf. Commun. Eng. 20(3), 590–598 (2016)MathSciNetCrossRefGoogle Scholar
  16. 16.
    Smirnov, A., Kashevnik, A., Shilov, N., Ponomarev, A.: Smart space-based in-vehicle application for e-tourism: technological framework and implementation for Ford SYNC. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds.) NEW2AN/ruSMART 2014. LNCS, vol. 8638, pp. 52–61. Springer, Heidelberg (2014)Google Scholar
  17. 17.
    Smirnov, A., Shilov, N., Gusikhin, O.: Socio-cyberphysical system for parking support. In: Proceedings of the 5th International Conference on Information and Electronics Engineering (ICIEE 2015), pp. 145–151 (2015)Google Scholar
  18. 18.
    Smirnov, A., Kashevnik, A., Ponomarev, A., Teslya, N., Shchekotov, M., Balandin, S.I.: Smart space-based tourist recommendation system: application for mobile devices. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds.) NEW2AN/ruSMART 2014. LNCS, vol. 8638, pp. 40–51. Springer, Heidelberg (2014)Google Scholar
  19. 19.
    Smirnov, A., Kashevnik, A., Shilov, N., Gusikhin, O.: Context-driven on-board information support: smart space-based architecture. In: The 6th International Congress on Ultra Modern Telecommunications and Control Systems (ICUMT 2014), pp. 195–200. IEEE (2014)Google Scholar
  20. 20.
    Web Services Architecture, W3C Working Group Note, Web (2014). http://www.w3.org/TR/ws-arch/
  21. 21.
    Alonso, G., Casati, F., Kuno, H.A., Machiraju, V.: Web Services. Concepts, Architectures and Applications. Springer, Heidelberg (2004)CrossRefMATHGoogle Scholar
  22. 22.
    Papazoglou, M.P., van den Heuvel, W.-J.: Service oriented architectures: approaches, technologies and research issues. VLDB J. 16(3), 389–415 (2007)CrossRefGoogle Scholar
  23. 23.
    Smirnov, A., Levashova, T., Shilov, N.: Patterns for context-based knowledge fusion in decision support. Inf. Fusion 21, 114–129 (2015)CrossRefGoogle Scholar
  24. 24.
    Smirnov, A., Shilov, N., Makklya, A., Gusikhin, O.: Context-based service fusion for personalized on-board information support. In: Fischer-Wolfarth, J., Meyer, G. (eds.) Advanced Microsystems for Automotive Applications 2014. LNMOB, vol. 1, pp. 111–120. Springer, Heidelberg (2014)Google Scholar
  25. 25.
    Cook, D.J., Das, S.K.: How smart are our environments? An updated look at the state of the art. Pervasive Mob. Comput. 3(2), 53–73 (2007)CrossRefGoogle Scholar
  26. 26.
    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)Google Scholar
  27. 27.
    Kiljander, J., Ylisaukko-oja, A., Takalo-Mattila, J., Eteläperä, M., Soininen, J.-P.: Enabling semantic technology empowered smart spaces. Comput. Netw. Commun. 2012, 1–14 (2012)CrossRefGoogle Scholar
  28. 28.
    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
  29. 29.
    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 2013 and ruSMART 2013. LNCS, vol. 8121, pp. 48–59. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  30. 30.
    Honkola, J., Laine, H., Brown, R., Tyrkko, O.: Smart-M3 information sharing platform. In: Proceedings of ISCC 2010, pp. 1041–1046. IEEE Computer Society (2010)Google Scholar
  31. 31.
    Smirnov, A., Shilov, N.: Ontology matching in collaborative recommendation system for PLM. Int. J. Prod. Lifecycle Manag. 6(4), 322–338 (2013)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Alexander Smirnov
    • 1
    • 2
  • Nikolay Shilov
    • 1
    • 2
  • Oleg Gusikhin
    • 3
  1. 1.SPIIRASSt. PetersburgRussia
  2. 2.ITMO UniversitySt. PetersburgRussia
  3. 3.Ford Motor CompanyDearbornUSA

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