A Route Recommender System Based on the User's Visit Duration at Sightseeing Locations

The time spent at a sightseeing location differs for each tourist. If a tourist is particularly interested in a location, the visit duration may be long. In this case, we consider that the tourist’s visit duration is longer than that of a typical tourist at similar sites. We assume that this difference shows the tourist’s characteristics, such as the type of objects in which s/he is interested and his or her walking speed. It also indicates the level of congestion in the sightseeing area. Therefore, we propose a route recommender system whose recommendations are based on the difference between a user’s and the typical visit duration at sightseeing locations. We focus on the category structure of the locations and the difference between the tourist’s and the typical visit duration for estimating the visit duration at other locations. In this study, we developed a prototype system and evaluated it using a few sightseeing locations.

[1]  Shinsuke Nakajima,et al.  ROUTE RECOMMENDATION METHOD BASED ON DRIVER'S ESTIMATED INTENTION CONSIDERING ROUTE SELECTION WITH CAR NAVIGATION , 2015, IMECS 2015.

[2]  K. Rehrl,et al.  Assisting orientation and guidance for multimodal travelers in situations of modal change , 2005, Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005..

[3]  Andreas Butz,et al.  A hybrid indoor navigation system , 2001, IUI '01.

[4]  Masatoshi Arikawa,et al.  Dynamic name placement functions for interactive map systems , 1991, Aust. Comput. J..

[5]  Wolfgang Wahlster,et al.  A resource-adaptive mobile navigation system , 2002, IUI '02.

[6]  Keith Cheverst,et al.  Design of an object model for a context sensitive tourist GUIDE , 1999, Comput. Graph..

[7]  Nils J. Nilsson,et al.  A Formal Basis for the Heuristic Determination of Minimum Cost Paths , 1968, IEEE Trans. Syst. Sci. Cybern..

[8]  Shinsuke Nakajima,et al.  Route recommendation method for car navigation system based on estimation of driver's intent , 2012, 2012 IEEE International Conference on Vehicular Electronics and Safety (ICVES 2012).

[9]  Keith Cheverst,et al.  Developing a context-aware electronic tourist guide: some issues and experiences , 2000, CHI.

[10]  Edsger W. Dijkstra,et al.  A note on two problems in connexion with graphs , 1959, Numerische Mathematik.

[11]  Yuri Yamamoto,et al.  Use of human geographic recognition to reduce GPS error in mobile mapmaking learning , 2006, International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies (ICNICONSMCL'06).

[12]  Shinsuke Nakajima,et al.  Route Recommendation Method Based on Driver's Intention Estimation Considering the Route Selection When Using the Car Navigation , 2014 .

[13]  Masaaki Tanizaki,et al.  Ubiquitous Spatial-Information Services Using Cell Phones , 2002, IEEE Micro.