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Authors: Sergey Mikhailov 1 ; Alexey Kashevnik 1 ; Alexander Smirnov 1 and Vladimir Parfenov 2

Affiliations: 1 St. Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAS), 39, 14 Line, St. Petersburg, Russia Federation ; 2 ITMO University, Russia Federation

Keyword(s): Smart Mobility, Tourism, Attraction Routes.

Abstract: Vehicle-based tourism becomes more and more important in the era of the pandemic. Tourism management is an important challenge for the tourist region development. The construction of a personalized attraction visiting route for tourists with personal vehicles has a great impact on the tourist flows. The authors propose theoretical and technological foundations for smart mobility support of vehicle-based tourists. We propose to predict tourist preferences by using deep neural networks for the prediction model’s implementation and demonstrated 70-80% accuracy in training on completed tourist trips to St. Petersburg, Russia. The tourist route attractiveness prediction was used to assess the constructed route quality. The attraction attractiveness and attendance prediction together with potential tourist trajectory prediction were used for attraction selection process personification. The obtained results can be used in smart mobility support systems to improve the travel experience.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Mikhailov, S.; Kashevnik, A.; Smirnov, A. and Parfenov, V. (2022). Smart Mobility Support for Vehicle-based Tourism: Theoretical and Technological Foundations. In Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS, ISBN 978-989-758-573-9; ISSN 2184-495X, pages 105-115. DOI: 10.5220/0011074100003191

@conference{vehits22,
author={Sergey Mikhailov. and Alexey Kashevnik. and Alexander Smirnov. and Vladimir Parfenov.},
title={Smart Mobility Support for Vehicle-based Tourism: Theoretical and Technological Foundations},
booktitle={Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS,},
year={2022},
pages={105-115},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011074100003191},
isbn={978-989-758-573-9},
issn={2184-495X},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS,
TI - Smart Mobility Support for Vehicle-based Tourism: Theoretical and Technological Foundations
SN - 978-989-758-573-9
IS - 2184-495X
AU - Mikhailov, S.
AU - Kashevnik, A.
AU - Smirnov, A.
AU - Parfenov, V.
PY - 2022
SP - 105
EP - 115
DO - 10.5220/0011074100003191