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Computer Science

The eCOMPASS multimodal tourist tour planner

Profile image of Grammati PantziouGrammati Pantziou

2015, Expert Systems with Applications

https://doi.org/10.1016/J.ESWA.2015.05.046
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Abstract
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Tour planning presents challenges for tourists due to numerous attractions and complex transit networks. This paper introduces eCOMPASS, a context-aware web and mobile application that generates personalized multimodal tours incorporating public transit. Unlike existing solutions, eCOMPASS offers users flexibility in starting and ending locations and optimizes the sequencing of POIs to minimize wait times. Case studies in Athens and Berlin showcase positive user feedback on the app's functionality and utility.

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References (29)

  1. Bolzoni, P., Helmer, S., Wellenzohn, K., Gamper, J., & Andritsos, P. (2014). Efficient itinerary planning with category constraints. In Proceedings of the 22nd ACM SIGSPATIAL international conference on advances in geographic information systems (pp. 203-212).
  2. Borràs, J., Moreno, A., & Valls, A. (2014). Intelligent tourism recommender systems: A survey. Expert Systems with Applications, 41(16), 7370-7389.
  3. Brilhante, I. R., Macedo, J. A., Nardini, F. M., Perego, R., & Renso, C. (2015). On planning sightseeing tours with TripBuilder. Information Processing & Management, 51(2), 1-15.
  4. Brown, B., & Chalmers, M. (2003). Tourism and mobile technology. In Proceedings of the eighth European conference on computer supported cooperative work (pp. 335- 354).
  5. Cohen, R., & Katzir, L. (2008). The generalized maximum coverage problem. Information Processing Letters, 108(1), 15-22.
  6. De Choudhury, M., Feldman, M., Amer-Yahia, S., Golbandi, N., Lempel, R., & Yu, C. (2010). Automatic construction of travel itineraries using social breadcrumbs. In Proceedings of the 21st ACM conference on hypertext and hypermedia (pp. 35- 44).
  7. Dibbelt, J., Pajor, T., & Wagner, D. (2012). User-constrained multi-modal route planning. In Proceedings of the 14th meeting on algorithm engineering and experiments (pp. 118-129).
  8. Feo, T. A., & Resende, M. G. (1989). A probabilistic heuristic for a computationally difficult set covering problem. Operations Research Letters, 8(2), 67-71.
  9. Garcia, A., Vansteenwegen, P., Arbelaitz, O., Souffriau, W., & Linaza, M. T. (2013). Integrating public transportation in personalised electronic tourist guides. Computers & Operations Research, 40(3), 758-774.
  10. Gavalas, D., Konstantopoulos, C., Mastakas, K., Pantziou, G., & Vathis, N. (2014). Efficient heuristics for the time dependent team orienteering problem with time windows. In Proceedings of the international conference on applied algorithms (pp. 151-162).
  11. Gavalas, D., Konstantopoulos, C., Mastakas, K., & Pantziou, G. (2014a). Mobile recommender systems in tourism. Journal of Network and Computer Applications, 39, 319-333.
  12. Gavalas, D., Konstantopoulos, C., Mastakas, K., & Pantziou, G. (2014b). A survey on algorithmic approaches for solving tourist trip design problems. Journal of Heuristics, 20(3), 291-328.
  13. Gavalas, D., Konstantopoulos, C., Mastakas, K., Pantziou, G., & Vathis, N. (2015). Approximation algorithms for the arc orienteering problem. Information Processing Letters, 115(2), 313-315.
  14. Gionis, A., Lappas, T., Pelechrinis, K., & Terzi, E. (2014). Customized tour recommendations in urban areas. In Proceedings of the seventh ACM international conference on web search and data mining (pp. 313-322).
  15. Han, Y., Guan, H., & Duan, J. (2014). Tour route multiobjective optimization design based on the tourist satisfaction. Discrete Dynamics in Nature and Society. 2014.
  16. Hasuike, T., Katagiri, H., Tsubaki, H., & Tsuda, H. (2014). Route planning problem with groups of sightseeing sites classified by tourist's sensitivity under time- expanded network. In Proceedings of the 2014 IEEE international conference on systems, man and cybernetics (pp. 188-193).
  17. Hu, Q., & Lim, A. (2014). An iterative three-component heuristic for the team orienteering problem with time windows. European Journal of Operational Research, 232(2), 276-286.
  18. Kurata, Y., & Hara, T. (2014). CT-Planner4: Toward a more user-friendly interactive day-tour planner. In Proceedings of the 2014 international conference on information and communication technologies in tourism (pp. 73-86).
  19. Labadi, N., Melechovsky ´, J., & Wolfler Calvo, R. (2011). Hybridized evolutionary local search algorithm for the team orienteering problem with time windows. Journal of Heuristics, 17, 729-753.
  20. Laporte, G., & Martello, S. (1990). The selective travelling salesman problem. Discrete Applied Mathematics, 26(2), 193-207.
  21. Lew, A., & McKercher, B. (2006). Modeling tourist movements: A local destination analysis. Annals of Tourism Research, 33(2), 403-423.
  22. Likas, A., Vlassis, N., & Verbeek, J. (2003). The global k-means clustering algorithm. Pattern Recognition, 36(2), 451-461.
  23. Lim, K. H. (in press). Recommending tours and places-of-interest based on user interests from geo-tagged photos. In Proceedings of SIGMOD'2015.
  24. Marte, M., Litzenberg, B., & Krietsch, F. (2014). Pilot results consolidation. Deliverable D6.2.2, EU FP7 eCOMPASS, <http://www.ecompass-project.eu/sites/ default/files/eCOMPASS-Deliverable-D6.2.2-v1.3_0.pdf>.
  25. Schaller, R., & Elsweiler, D. (2014). Itinerary recommenders: How do users customize their routes and what can we learn from them? In Proceedings of the fifth information interaction in context symposium (pp. 185-194).
  26. Souffriau, W., & Vansteenwegen, P. (2010). Tourist trip planning functionalities: State of the art and future. In Proceedings of the 10th international conference on current trends in web engineering (pp. 474-485).
  27. Vansteenwegen, P., Souffriau, W., & Van Oudheusden, D. (2011). The orienteering problem: A survey. European Journal of Operational Research, 209(1), 1-10.
  28. Vansteenwegen, P., Souffriau, W., Vanden Berghe, G., & Van Oudheusden, D. V. (2009). Iterated local search for the team orienteering problem with time windows. Computers & Operations Research, 36, 3281-3290.
  29. Vansteenwegen, P., Souffriau, W., Vanden Berghe, G., & Van Oudheusden, D. (2011). The city trip planner: An expert system for tourists. Expert Systems with Applications, 38(6), 6540-6546.

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