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Intelligent Tourist Information System Author of the thesis: Krzysztof Jeleń

Intelligent Tourist Information System Author of the thesis: Krzysztof Jeleń. Advisor at PWr: dr inż. Andrzej Gawrych-Żukowski Advisor at BTH: Bengt Aspvall Ph.D. Agenda. Introduction Research questions Problems & Solutions Presentation of the application Future Work Conclusions Summary.

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Intelligent Tourist Information System Author of the thesis: Krzysztof Jeleń

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  1. Intelligent TouristInformation SystemAuthor of the thesis: Krzysztof Jeleń Advisor at PWr: dr inż. Andrzej Gawrych-Żukowski Advisor at BTH: Bengt Aspvall Ph.D.

  2. Agenda • Introduction • Research questions • Problems & Solutions • Presentation of the application • Future Work • Conclusions • Summary 2/20

  3. Introduction • Problem • visiting new city – what to see? • selecting objects and path finding • Designed for mobile devices • Tourist Information • Navigation • Existing finding paths applications • AutoMapa, IGO, TomTom 3/20

  4. Differences to existing applications • Existing applications: • How to get to the target • One path • Intelligent Tourist Information System • Selecting targets and path finding • Proposition of trips 4/20

  5. Research Questions 1/2 • Is it possible to build a complete Tourist Information System and to get satisfying results? • What are the weaknesses of existing GPS systems and applications for path finding? • What are the user expectations from a such system? Can they be fulfilled using existing devices? 5/20

  6. Research Questions 2/2 • Which algorithm for path-finding will be the best to fulfill user requirements and needs while travelling (different criteria, maybe two or more algorithms should be used for best search results)? • How to organize data for most optimal memory consumption? • How to build a vector map? 6/20

  7. Problems & Solutions Problems in the scope of the thesis: • How to get a vector map? How to build it? • Data structures – how to fit in memory? • Drawing a map • Selecting objects to visit • Path finding • between objects while building a trip • on a map 7/20

  8. Problem 1 – Vector map of the city • Buying a map • Building a map • a raster map is needed • automation • MapBuilder software • Gathering data about objects • Points of Interest database 8/20

  9. Problem 2 – Data structures Features: • fast searching • selecting visible objects • finding a place which was clicked by a user • small 9/20

  10. Problem 3 – Drawing map • Drawing only a visible part • selecting visible objects • Scrolling (flickering) & zooming • Layers • areas: • the sea • islands • lakes, rivers • islands • buildings, parks • streets • POIs 10/20

  11. Problem 4 - Selecting POIs to visit • Criteria for objects selecting • time for a trip • transport • visiting style • POI categories • Assumption • real path = * distance • connectivity of the graph • Show propositions in short time period • Solutions evaluation 11/20

  12. Problem 4 - Selecting algorithm 12/20

  13. Problem 4 – Path building process 13/20

  14. Problem 5 – Finding a path on the map • Finding the shortest paths • Using the Dijsktra’s algorithm • Adopting the Dijsktra’s algorithm to the specific situation 14/20

  15. Example solution 15/20

  16. Presentation of the application 16/20

  17. Future Work • Improving the path “smoothing” algorithm • Symbian OS application • incomplete implementation • graphic tests were performed • Map rotation • Objects search mechanism • Using a GPS receiver • leading and navigation 17/20

  18. Conclusions • It is possible to build a system for mobile devices which can fulfill and help tourists • Weaknesses of existing GPS systems were presented • Data organization was described and implemented • Process of map building was described 18/20

  19. Summary • the Karlskrona map was built • the POIs database was prepared • part of a map of Wrocław was vectorized • the algorithm to trip finding was designed • the Windows Mobile Application was implemented • the Symbian OS application is still in implementation 19/20

  20. Questions?

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