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2018 | OriginalPaper | Chapter

Smart Tourism Routes Based on Real Time Data and Evolutionary Algorithms

Authors : Mário Amorim, Adriana Mar, Fernando Monteiro, Stella Sylaiou, Pedro Pereira, João Martins

Published in: Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection

Publisher: Springer International Publishing

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Abstract

Tourism is an industry that has been growing rapidly in the last few years and it is expected that it will continue to grow. Due to the evolution of technology, mobile applications are being increasingly used in all kinds of industries, being one of them tourism. Presently there are already a few mobile applications used to increase the experience of the user when visiting a place, but these mobile applications lack some important features. This paper describes the development of a mobile application with integrated routing algorithms used to increase the experience of the tourists when visiting the city of Avila, Spain. The tourist will have at their disposal real time information about all the monuments available for visit, a full set of predefined circuits with different visit times and degrees of difficulty and also the possibility to create an optimized or personalized circuit combining the user preferences such as visiting time and number of monuments to visit.

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Literature
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go back to reference INE (National Institute of statistics): Estatísticas do Turismo 2016 (2017) INE (National Institute of statistics): Estatísticas do Turismo 2016 (2017)
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go back to reference Christian, M.: Mobile application development in the tourism industry and its impact on on-site travel behavior. 65 (2015) Christian, M.: Mobile application development in the tourism industry and its impact on on-site travel behavior. 65 (2015)
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go back to reference Oliveira, J., Cacho, A., Moura, B., et al: FindTrip : Um Aplicativo Móvel para o Turismo Inteligente na Cidade do Natal. Univ Fed do Rio Gd do Norte – UFRN (2014) Oliveira, J., Cacho, A., Moura, B., et al: FindTrip : Um Aplicativo Móvel para o Turismo Inteligente na Cidade do Natal. Univ Fed do Rio Gd do Norte – UFRN (2014)
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Metadata
Title
Smart Tourism Routes Based on Real Time Data and Evolutionary Algorithms
Authors
Mário Amorim
Adriana Mar
Fernando Monteiro
Stella Sylaiou
Pedro Pereira
João Martins
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-030-01762-0_36