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Abstract
When tourists are at a destination, they typically search for information in the Local Tourist Organizations. There, the staff determines the profile of the tourists and their restrictions. Combining this information with their up-to-date knowledge about the local attractions and public transportation, they suggest a personalized route for the tourist agenda. Finally, they fine tune up this route to better fit tourists' needs. We present an intelligent routing system to fulfil the same task. We divide this process in three steps: recommendation, route generation and route customization. We focus on the last two steps and analyze them. We model the tourist planning problem, integrating public transportation, as the Time Dependent Team Orienteering Problem with Time Windows (TDTOPTW) and we present an heuristic able to solve it on real-time. Finally, we show the prototype which generates and customizes routes in real-time.
Keywords
TIME WINDOWS, ORIENTEERING PROBLEM, HEURISTICS, ALGORITHMS

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Chicago
Garcia, Ander, Olatz Arbelaitz, Maria Teresa Linaza, Pieter Vansteenwegen, and Wouter Souffriau. 2010. “Personalized Tourist Route Generation.” In Lecture Notes in Computer Science, ed. Florian Daniel and Federuci Michele Facca, 6385:486–497. Berlin, Germany: Springer.
APA
Garcia, Ander, Arbelaitz, O., Linaza, M. T., Vansteenwegen, P., & Souffriau, W. (2010). Personalized tourist route generation. In Florian Daniel & F. M. Facca (Eds.), Lecture Notes in Computer Science (Vol. 6385, pp. 486–497). Presented at the 10th International conference on Web Engineering (ICWE 2010), Berlin, Germany: Springer.
Vancouver
1.
Garcia A, Arbelaitz O, Linaza MT, Vansteenwegen P, Souffriau W. Personalized tourist route generation. In: Daniel F, Facca FM, editors. Lecture Notes in Computer Science. Berlin, Germany: Springer; 2010. p. 486–97.
MLA
Garcia, Ander, Olatz Arbelaitz, Maria Teresa Linaza, et al. “Personalized Tourist Route Generation.” Lecture Notes in Computer Science. Ed. Florian Daniel & Federuci Michele Facca. Vol. 6385. Berlin, Germany: Springer, 2010. 486–497. Print.
@inproceedings{1933806,
  abstract     = {When tourists are at a destination, they typically search for information in the Local Tourist Organizations. There, the staff determines the profile of the tourists and their restrictions. Combining this information with their up-to-date knowledge about the local attractions and public transportation, they suggest a personalized route for the tourist agenda. Finally, they fine tune up this route to better fit tourists' needs. We present an intelligent routing system to fulfil the same task. We divide this process in three steps: recommendation, route generation and route customization. We focus on the last two steps and analyze them. We model the tourist planning problem, integrating public transportation, as the Time Dependent Team Orienteering Problem with Time Windows (TDTOPTW) and we present an heuristic able to solve it on real-time. Finally, we show the prototype which generates and customizes routes in real-time.},
  author       = {Garcia, Ander and Arbelaitz, Olatz and Linaza, Maria Teresa and Vansteenwegen, Pieter and Souffriau, Wouter},
  booktitle    = {Lecture Notes in Computer Science},
  editor       = {Daniel, Florian and Facca, Federuci Michele},
  isbn         = {9783642169847},
  issn         = {0302-9743},
  keyword      = {TIME WINDOWS,ORIENTEERING PROBLEM,HEURISTICS,ALGORITHMS},
  language     = {eng},
  location     = {Vienna, Austria},
  pages        = {486--497},
  publisher    = {Springer},
  title        = {Personalized tourist route generation},
  url          = {http://dx.doi.org/10.1007/978-3-642-16985-4\_47},
  volume       = {6385},
  year         = {2010},
}

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