Inferring travel patterns and the attractiveness of touristic areas based on fusing Wi-Fi sensing data and GPS traces with a Kyoto case study-Reference-Cited by-同舟云学术

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Inferring travel patterns and the attractiveness of touristic areas based on fusing Wi-Fi sensing data and GPS traces with a Kyoto case study

Published:2024-03 Issue: Volume:160 Page:104531
ISSN:0968-090X
Container-title:Transportation Research Part C: Emerging Technologies
language:en
Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Gao Yuhan,Schmöcker Jan-Dirk

Funder

Ministry of Land, Infrastructure, Transport and Tourism

Japan Science and Technology Agency

Publisher

Elsevier BV

Reference36 articles.

1. A new Wi-Fi/GPS fusion method for robust positioning in urban environments;Alfakih;Phys. Commun.,2018

2. A Comparative Evaluation of Wi-Fi RTT and GPS Based Positioning;Bai,2020

3. Using geo-tagged tweets for understanding temporal and spatial activity distribution in Kyoto;Bi,2023

4. Claro, R., Eisa, S., Pardal, M.L., 2022. Lisbon hotspots: Wi-fi access point dataset for time-bound location proofs. arXiv preprint arXiv:2208.04741.

5. Identifying roader user classes based on repeated trip behaviour using Bluetooth data;Crawford;Transp. Res. A Policy Pract.,2018

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Sensor Network Based on Machine Learning in Tourist Area;Sensors and Materials;2024-07-24

2. Using entropy maximisation for establishing city-wide touristic tour patterns;Applied Soft Computing;2024-03

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