Trip purpose inference for tourists by machine learning approaches based on mobile signaling data-Reference-Cited by-同舟云学术

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Trip purpose inference for tourists by machine learning approaches based on mobile signaling data

Published:2021-06-28 Issue: Volume: Page:
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Sun Haodong,Chen Yanyan,Wang Yang,Liu Xiaoming

Funder

National Key Research and Development Plan of China

Science and Technology Project of Beijing

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s12652-021-03346-y.pdf

Reference53 articles.

1. Ahas R, Aasa A, Yuan Y, Raubal M, Smoreda Z, Liu Y, Ziemlicki C, Tiru M, Zook M (2015) Everyday space–time geographies: using mobile phone-based sensor data to monitor urban activity in Harbin, Paris, and Tallinn. Int J Geogr Inf Sci 29(11):2017–2039

2. Alawneh L, Alsarhan T, Al-Zinati M, Al-Ayyoub M, Jararweh Y, Lu HT (2021) Enhancing human activity recognition using deep learning and time series augmented data. J Ambient Intell Humaniz Comput. https://doi.org/10.1007/s12652-020-02865-4

3. Alexander L, Jiang S, Murga M, González MC (2015) Origin–destination trips by purpose and time of day inferred from mobile phone data. Transp Res Part C Emerg Technol 58:240–250

4. Almaslukh B, Al Muhtadi J, Artoli AM, Tiwari S, Trivedi M, Kohle ML (2018) A robust convolutional neural network for online smartphone-based human activity recognition. J Intell Fuzzy Syst 35(2):1609–1620

5. Alo UR, Nweke HF, Teh YW, Murtaza G (2020) Smartphone motion sensor-based complex human activity identification using deep stacked autoencoder algorithm for enhanced smart healthcare system. Sensors (basel) 20(21):6300. https://doi.org/10.3390/s20216300

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1. Activity type detection of mobile phone data based on self-training: Application of the teacher–student cycling model;Transportation Research Part C: Emerging Technologies;2024-04

2. Converting Urban Trips to Multi-Dimensional Signals to Improve Trip Purpose Inference;IEEE Transactions on Intelligent Transportation Systems;2024

3. Exploring Activity Patterns and Trip Purposes of Public Transport Passengers from Smart Card Data;Journal of Transportation Engineering, Part A: Systems;2023-09

4. Correction to: Trip purpose inference for tourists by machine learning approaches based on mobile signaling data;Journal of Ambient Intelligence and Humanized Computing;2021-08-23

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