Abstract
The use of intelligent geographical information systems in the tourism industry allows for providing access to information about attractions during a tourist’s trip. Navigation is a main concern for tourists. Attractions can be located far away from the tourist’s current location, and the tourist usually reaches a desired attraction with the use of available transportation modes: on foot, by personal car, or on public transport. The present work describes a service for an intelligent mobile-tourist guide (TAIS) that supports routing between attractions using transportation modes inside the city. The tourist context is considered during the routing process. The service has been tested over the transport network of St. Petersburg, which is a Russian megalopolis with population of >5 million people.
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Acknowledgements
This work was supported by projects funded by Grants No. 15-07-08092, 15-07-08391, 16-07-00462, and 17-07-00327 from the Russian Foundation for Basic Research as well as Programs No. 0073-2015-0006 and 0073-2015-0007 from the Russian Academy of Sciences. This work was partially financially supported by the Government of Russian Federation, Grant No. 074-U01.
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Smirnov, A., Teslya, N., Kashevnik, A. (2018). Context-Aware Routing Service for an Intelligent Mobile-Tourist Guide. In: Popovich, V., Schrenk, M., Thill, JC., Claramunt, C., Wang, T. (eds) Information Fusion and Intelligent Geographic Information Systems (IF&IGIS'17). Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-59539-9_18
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DOI: https://doi.org/10.1007/978-3-319-59539-9_18
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