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Intelligent Routing System for a Personalised Electronic Tourist Guide

  • Conference paper
Information and Communication Technologies in Tourism 2009

Abstract

When tourists are at a destination, they typically search for information Organizations. There, the staff categorizes tourists’ profile and restrictions. Combining this information with their up-to-date knowledge about the local attractions, weather and public transportation, they suggest a personalised route for the tourist agenda. This paper presents. an intelligent routing system for a Personalised Electronic Tourist Guide to fulfil the same task. This system improves the automatic route creation functionality of existing PETs to solve better the needs of tourists in several aspects: i) it includes public transportation, ii) it takes varying travelling times into account, adapting to real circumstances as rush-hours, iii) it calculates routes in real time to react to unexpected events, iv) it applies last generation heuristics from Operations Research to create routes efficiently, even in destinations with a large number of point of interests and a dense public transportation network.

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References

  • Beer, T., Fuchs, M., Höpken, W., Werthner, H., & Rasinger, J. (2007). CAIPS: A Context-Aware Information Push Service in Tourism. Information and Communication Technologies in Tourism 2007.

    Google Scholar 

  • Brown, B., & Chalmers, M. (2003). Tourism and mobile technology. 8th European Conference on Computer Supported Cooperative Work, Helsinki, Finland.

    Google Scholar 

  • Chiu, D. K. W., Lee, O., & Leung, H. F. (2005). A Multi-Modal Agent Based Mobile Route Advisory System for Public Transport Network. 38th Annual Hawaii International Conference on System Sciences (HICSS’05), Hawaii.

    Google Scholar 

  • Fomin, F. V., & Lingas, A. (2002). Approximation algorithms for time-dependent orienteering, Information Processing Letters (Vol. 83, pp. 57–62: Elsevier.

    Google Scholar 

  • Höpken, W., Fuchs, M., Zanker, M., Beer, T., Eybl, A., Flores, S., et al. (2006). etPlanner: An IT Framework for Comprehensive and Integrative Travel Guidance. Information and Communication Technologies in Tourism 2006.

    Google Scholar 

  • Kramer, R., Modsching, M., ten Hagen, K., & Gretzel, U. (2007). Behavioural Impacts of Mobile Tour Guides. Information and Communication Technologies in Tourism 2007.

    Google Scholar 

  • Lourenco, H.R., Martin O., and Stuetzle T., Iterated Local Search. In: F. Glover and G. Kochenberger, editors, Handbook of Metaheuristics. pages 321–353. Kluwer Academic Publishers, Norwell, MA, 2002

    Google Scholar 

  • Maruyama, A., Shibata, N., Murata, Y., Yasumoto, K., & Ito, M. (2004). A Personal Tourist Navigation System to Support Travelling Multiple Destinations with Time Restrictions. 18th International Conference on Advanced Information Networking and Applications

    Google Scholar 

  • Savelsbergh, M. W. P. (1985). Local search in routing problems with time windows. Annals of Operations Research, 4(1), 285–305.

    Google Scholar 

  • Schmidt-Belz, B., Laamanen, H., Poslad, S., & Zipf, A. (2003). Location-based mobile tourist services-first user experiences. Information and Communication Technologies in Tourism 2003.

    Google Scholar 

  • Souffriau, W., Vansteenwegen, P., Vertommen, J., Vanden Berghe, G., & Van Oudheusden, D. (2008) A Personalised Tourist Trip Design Algorithm for Mobile Tourist Guides. Applied Artificial Intelligence: to appear.

    Google Scholar 

  • Stroobants, R. (2006). Mobile Tourist Guides. Katholieke Universiteit Leuyen, Leuven.

    Google Scholar 

  • Tsiligirides, T. (1984). Heuristic methods applied to orienteering. The Journal of the Operational Research Society, 35(9), 797–809.

    Google Scholar 

  • Vansteenwegen, P., and Van Oudheusden, D. (2007) The Mobile Tourist Guide: An OR Opportunity. OR Insights, 20 (3), 21–27.

    Google Scholar 

  • Vansteenwegen, P., Souffriau, W., Vanden Berghe, G., and Van Oudheusden, D. (2008) Metaheuristics for tourist trip planning. Metaheuristics in the Service Industry (Geiger, M., Habenicht, W., Sevaux, M., Sörensen, K., eds.), Lecture Notes in Economics and Mathematical Systems, Springer Verlag: to appear.

    Google Scholar 

  • Vansteenwegen, P. (2008) Planning in tourism and public transportation. PhD dissertation, Katholieke Universiteit Leuven, Centre for Industrial Management, Belgium, ISBN: 978-90-5682-949-0.

    Google Scholar 

  • Zografos, K. G., & Androutsopoulos, K. N. (2008). Algorithms for Determining Optimum Itineraries in a Multimodal Urban Transportation Network. IEEE Transactions on Intelligent Transportation Systems, Tokyo, Japan

    Google Scholar 

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© 2009 Springer-Verlag/Wien

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Garcia, A., Linaza, M.T., Arbelaitz, O., Vansteenwegen, P. (2009). Intelligent Routing System for a Personalised Electronic Tourist Guide. In: Höpken, W., Gretzel, U., Law, R. (eds) Information and Communication Technologies in Tourism 2009. Springer, Vienna. https://doi.org/10.1007/978-3-211-93971-0_16

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  • DOI: https://doi.org/10.1007/978-3-211-93971-0_16

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-93970-3

  • Online ISBN: 978-3-211-93971-0

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