Abstract
The present article comes along with a series of papers that were presented in the context of implementing smart tourism applications for any touristic space and more particularly aims to present suggestions and approaches to planning the most optimized itineraries for the user (tourist) who will be visiting any city. As the goal of smart tourism is to enhance the experience of the tourist in every phase of his journey, providing personalized services and optimized circuits is a major added value for all smart tourism processes, especially if the optimized/personalized suggestions consider some of the tourist’s constraints and preferences. Hence, the current article discusses the use of algorithms and tools (genetic algorithms and Bing Maps API) to achieve this goal of providing optimized routes and will end by proposing some perspectives that enhance the performance of the optimization tools. This new approach gives a good result when applied to the old city of Fez.
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This research is supported by the National Scientific and Technical Research Center of Morocco. This paper has been realized in the context of project number 28/2020 funded in the field of the khawarizmi program.
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Benchekroun, Y., Senba, H., Haddouch, K. (2023). A Novel Approach to Intelligent Touristic Visits Using Bing Maps and Genetic Algorithms. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2023. Lecture Notes in Networks and Systems, vol 668. Springer, Cham. https://doi.org/10.1007/978-3-031-29857-8_5
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