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Intelligent Environments 2019 - Workshop Proceedings of the 15th International Conference on Intelligent Environments
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AMethod forGeneratingMultipleTour RoutesBalancingUserSatisfactionand ResourceConsumption YODAIHIRANOa,b, HIROHIKOSUWAa,b and KEIICHIYASUMOTOa,b aNara InstituteScienceandTechnology,Nara630-0192, Japan bRIKEN,Center forAdvanced IntelligenceProject,Tokyo103-0027, Japan Abstract. In general, it is a complicated and time-consuming task for a tourist to plan a satisfactory sightseeing tour, because he/shemust take into account var- ious factors and constraints (e.g., budget, available time, etc) at the same time. This difficulty comes from the fact that there is a trade-off between the satisfac- tion/experienceobtainedby thesightseeing tourand the resourceconsumedfor the tour, hence theoptimal solution isnotunique.Tohelpdecisionmaking, it is desir- able to show the tourist a varietyof solutions (i.e., tours) considering the trade-off in various ways, but to the best of our knowledge, no existingmethods/systems providesuchawidevarietyofsolutions. In thispaper,weformulate thesightseeing tour recommendation as amulti-objectiveoptimizationproblemwithmoney, time andstaminaconsumptionofa touristandsatisfactiondegreeobtainedbythetourist as independentvariables.Since thisproblem isNP-hard,weproposeaheuristical- gorithm toquicklyobtainsemi-paretooptimalsolutionsbasedongeneticalgorithm NSGA-II.We applied the proposedmethod to planning tours targeting 30 tourist spots inHigashiyama-areaofKyoto, Japan.Asaresult,ouralgorithmcouldoutput semi-paretooptimal solutions in reasonable time. Keywords. tourplanner,multi-objectiveGA, route search,decisionmaking 1. Introduction Thanksto thewide-spreadofsmartdeviceswithGPS,navigationsystems thatnavigatea user from thecurrent location to thedestination locationarenowwidelyavailable.Such a navigation system likeGoogleMaps has a route planning function that helps a user decide his/her satisfactory route in terms ofmonetary and/or temporal constraints, by showingmultiple routeswith (possibly combination of)multiple transportationmeans (trains, buses, taxis, etc). Most of the existing route planning functions/systems, however, are suffering from its usability that a user needs to specify detailed conditions to get his/her satisfactory route.Amoreeasy-to-use routeplanningsystemwhich takes intoaccountuser’scontext andpreference isdesired. In the domain of tourism, there is a route planning system called the tour planner suchasNAVITIMETRAVEL1.The tourplanner suggestsausera tourplanconsidering 1https://travel.navitime.com/ja/ Intelligent Environments 2019 A. Muñoz et al. (Eds.) © 2019 The authors and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0). doi:10.3233/AISE190040 180
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Intelligent Environments 2019 Workshop Proceedings of the 15th International Conference on Intelligent Environments
Titel
Intelligent Environments 2019
Untertitel
Workshop Proceedings of the 15th International Conference on Intelligent Environments
Autoren
Andrés Muñoz
Sofia Ouhbi
Wolfgang Minker
Loubna Echabbi
Miguel Navarro-Cía
Verlag
IOS Press BV
Datum
2019
Sprache
deutsch
Lizenz
CC BY-NC 4.0
ISBN
978-1-61499-983-6
Abmessungen
16.0 x 24.0 cm
Seiten
416
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Intelligent Environments 2019