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2021 | OriginalPaper | Chapter

Profile-Driven Synthetic Trajectories Generation to Enhance Smart System Solutions

Authors : Radosław Klimek, Arkadiusz Olesek

Published in: Computational Science – ICCS 2021

Publisher: Springer International Publishing

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Abstract

The knowledge of the individual trajectories of citizens’ mobility in the urban space is critical for smart cities. The data concerning trajectories from the providers of mobile phone services are still difficult to be obtained in practice and one of the considerable obstacles here are legal aspects. We have designed and implemented the tourist trajectories generator for objects located in a selected but arbitrary urban area. A generation process is based on the random selection of the pre-defined profiles of tourist activeness, including mobility patterns. It is possible to generate a practically unlimited number of trajectories, if needed, and they may also be directed at the certain specific types of behaviours. Thus obtained large sets of data may be used for understanding urban behaviours, calibrating urban models, recommending systems under construction, as well as anticipating the smart city further software testing.

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Literature
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go back to reference Olesek, A.: Mobile phone trajectory generator using user profiles [in Polish]. Master thesis. AGH University of Science and Technology (2020). Supervisor: Radosław Klimek Olesek, A.: Mobile phone trajectory generator using user profiles [in Polish]. Master thesis. AGH University of Science and Technology (2020). Supervisor: Radosław Klimek
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go back to reference Pelekis, N., Ntrigkogias, C., Tampakis, P., Sideridis, S., Theodoridis, Y.: Hermoupolis: a trajectory generator for simulating generalized mobility patterns. In: Blockeel, H., Kersting, K., Nijssen, S., Železný, F. (eds.) ECML PKDD 2013. LNCS (LNAI), vol. 8190, pp. 659–662. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-40994-3_49CrossRef Pelekis, N., Ntrigkogias, C., Tampakis, P., Sideridis, S., Theodoridis, Y.: Hermoupolis: a trajectory generator for simulating generalized mobility patterns. In: Blockeel, H., Kersting, K., Nijssen, S., Železný, F. (eds.) ECML PKDD 2013. LNCS (LNAI), vol. 8190, pp. 659–662. Springer, Heidelberg (2013). https://​doi.​org/​10.​1007/​978-3-642-40994-3_​49CrossRef
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go back to reference Zhou, F., Yin, R., Trajcevski, G., Zhang, K., Wu, J., Khokhar, A.: Improving human mobility identification with trajectory augmentation. GeoInformatica 1–31 (2019) Zhou, F., Yin, R., Trajcevski, G., Zhang, K., Wu, J., Khokhar, A.: Improving human mobility identification with trajectory augmentation. GeoInformatica 1–31 (2019)
Metadata
Title
Profile-Driven Synthetic Trajectories Generation to Enhance Smart System Solutions
Authors
Radosław Klimek
Arkadiusz Olesek
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-77970-2_47

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