Abstract
Existing travel related systems and commonly used websites have some major limitations which cause efforts to be made by the traveler before going out on vacation. Some of these sites allow users to write their personal experiences about visited places but don’t produce a proper itinerary, and those which do, focus only on minimizing the travel time between POIs ignoring other important factors like POI ratings, traffic conditions, etc.
Our work focuses on Building Real-Time Travel Itineraries using ‘off-the-shelf’ data from the Web. The proposed solution solves the existing limitations by using an optimization algorithm, which produces a real-time itinerary after optimizing various important factors like travel time between POIs, traffic conditions, ratings of POIs, to enhance the traveler’s experience in a city.
Out of the several optimization approaches available, an algorithm was finalized after comparison of performance and accuracy between the approaches. Best results were obtained in case of a dynamic programming based approach, which optimized both accuracy and performance.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
https://www.tripadvisor.in/. It is an American travel website company providing reviews of travel-related content along with interactive travel forum.
- 2.
https://www.triphobo.com/. It is a Pune, India based website developed to formulate basic travel itineraries of famous travel spots.
- 3.
https://www.tripoto.com/. It is a travel community which is based on data provided by users. It looks like a social networking website where people share blogs about the places they have traveled.
References
Alcoba, J., Mostajo, S., Paras, R., Mejia, G.C., Ebron, R.A.: Framing meaningful experiences toward a service science-based tourism experience design. In: International Conference on Exploring Services Science, pp. 129–140. Springer, May 2016
Cacho, A., Figueredo, M., Cassio, A., Araujo, M.V., Mendes, L., Lucas, J., Farias, H., Coelho, J., Cacho, N., Prolo, C., Prolo, C.: Social smart destination: a platform to analyze user generated content in smart tourism destinations. In: New Advances in Information Systems and Technologies, pp. 817–826. Springer (2016)
Casillo, M., Cerullo, L., Colace, F., Lemma, S., Lombardi, M., Pietrosanto, A.: An adaptive context aware app for the tourism. In: Proceedings of the the 3rd Multidisciplinary International Social Networks Conference on Social Informatics 2016, Data Science 2016, p. 26. ACM, August 2016
Cenamor, I., de la Rosa, T., Núñez, S., Borrajo, D.: Planning for tourism routes using social networks. Expert Syst. Appl. 69, 1–9 (2017)
Dhiratara, A., Yang, J., Bozzon, A., Houben, G.: Social media data analytics for tourism - a preliminary study. In: KDWeb (2016)
Drosatos, G., Efraimidis, P.S., Arampatzis, A., Stamatelatos, G., Athanasiadis, I.N.: Pythia: a privacy-enhanced personalized contextual suggestion system for tourism. In: 2015 IEEE 39th Annual on Computer Software and Applications Conference (COMPSAC), vol. 2, pp. 822–827. IEEE, July 2015
Gavalas, D., Konstantopoulos, C., Mastakas, K., Pantziou, G.: A survey on algorithmic approaches for solving tourist trip design problems. J. Heuristics 20(3), 291–328 (2014)
Gu, Z., Zhang, Y., Chen, Y., Chang, X.: Analysis of attraction features of tourism destinations in a mega-city based on check-in data mining: a case study of Shenzhen, China. ISPRS Int. J. Geo-Inf. 5(11), 210 (2016)
Jossé, G., Schmid, K.A., Züfle, A., Skoumas, G., Schubert, M., Pfoser, D.: Tourismo: a user-preference tourist trip search engine. In: International Symposium on Spatial and Temporal Databases, pp. 514–519. Springer, August 2015
Liu, H.L., Li, J.H., Peng, J.: A novel recommendation system for the personalized smart tourism route: design and implementation. In: 2015 IEEE 14th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), pp. 291–296. IEEE, July 2015
Nakatoh, T., Hirokawa, S.: Extraction of tourism objects from blogs. In: Tourism Informatics, pp. 43–58. Springer, Heidelberg (2015)
Rossetti, M., Stella, F., Zanker, M.: Analyzing user reviews in tourism with topic models. Inf. Technol. Tourism 16(1), 5–21 (2016)
Smirnov, A., Shilov, N., Kashevnik, A., Ponomarev, A.: Cyber-physical infomobility for tourism application. Int. J. Inf. Technol. Manage. 16(1), 31–52 (2017)
Tseng, S.Y., Ding, J.W., Chen, R.C.: WEB-based tour planning support system using genetic and ant colony algorithms. J. Internet Technol. 11(7), 901–908 (2010)
Yahi, A., Chassang, A., Raynaud, L., Duthil, H., Chau, D.H.P.: Aurigo: an interactive tour planner for personalized itineraries. In: Proceedings of the 20th International Conference on Intelligent User Interfaces, pp. 275–285. ACM, March 2015
Zacarias, F., Cuapa, R., De Ita, G., Torres, D.: Smart tourism in 1-click. Procedia Comput. Sci. 56, 447–452 (2015)
Zhou, X., Xu, C., Kimmons, B.: Detecting tourism destinations using scalable geospatial analysis based on cloud computing platform. Comput. Environ. Urban Syst. 54, 144–153 (2015)
Acknowledgement
We have taken a lot of efforts for this project. However, it would not have been possible without the kind support and help of many individuals. We would like to extend our sincere thanks to Dr. Seja K.R. and the review committee for their invaluable guidance and constant supervision in this project.
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Gupta, A., Rai, S., Singal, H., Chaudhary, M., Kaushal, R. (2018). Building Real-Time Travel Itineraries Using ‘off-the-shelf’ Data from the Web. In: Barolli, L., Zhang, M., Wang, X. (eds) Advances in Internetworking, Data & Web Technologies. EIDWT 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 6. Springer, Cham. https://doi.org/10.1007/978-3-319-59463-7_54
Download citation
DOI: https://doi.org/10.1007/978-3-319-59463-7_54
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-59462-0
Online ISBN: 978-3-319-59463-7
eBook Packages: EngineeringEngineering (R0)