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https://doi.org/10.21256/zhaw-4053| Publikationstyp: | Konferenz: Paper |
| Art der Begutachtung: | Keine Angabe |
| Titel: | Bayesian framework for mobility pattern discovery using mobile network events |
| Autor/-in: | Danafar, Somayeh Piorkowski, Michal Kryszczuk, Krzysztof |
| DOI: | 10.21256/zhaw-4053 10.23919/EUSIPCO.2017.8081372 |
| Tagungsband: | 2017 25th European Signal Processing Conference (EUSIPCO) |
| Seite(n): | 1105 |
| Seiten bis: | 1109 |
| Angaben zur Konferenz: | 25th European Signal Processing Conference (EUSIPCO), Kos, 28 August - 2 September 2017 |
| Erscheinungsdatum: | 2017 |
| Verlag / Hrsg. Institution: | IEEE |
| ISBN: | 978-0-9928626-7-1 |
| ISSN: | 2076-1465 |
| Sprache: | Englisch |
| Schlagwörter: | Mobility; Trajectory; Prediction; Smart city |
| Fachgebiet (DDC): | 003: Systeme 380: Verkehr |
| Zusammenfassung: | Understanding human mobility patterns is of great importance for planning urban and extra-urban spaces and communication infrastructures. The omnipresence of mobile telephony in today’s society opens new avenues of discovering the patterns of human mobility by means of analyzing cellular network data. Of particular interest is analyzing passively collected Network Events (NEs) due to their scalability. However, mobility pattern analysis based on network events is challenging because of the coarse granularity of NEs. In this paper, we propose network event-based Bayesian approaches for mobility pattern recognition and reconstruction, mode of transport recognition and modeling the frequent trajectories. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/13168 |
| Volltext Version: | Akzeptierte Version |
| Lizenz (gemäss Verlagsvertrag): | Lizenz gemäss Verlagsvertrag |
| Departement: | Life Sciences und Facility Management |
| Organisationseinheit: | Institut für Computational Life Sciences (ICLS) |
| Enthalten in den Sammlungen: | Publikationen Life Sciences und Facility Management |
Dateien zu dieser Ressource:
| Datei | Beschreibung | Größe | Format | |
|---|---|---|---|---|
| 1570347626.pdf | 3.21 MB | Adobe PDF |  Öffnen/Anzeigen |
Zur Langanzeige
Danafar, S., Piorkowski, M., & Kryszczuk, K. (2017). Bayesian framework for mobility pattern discovery using mobile network events [Conference paper]. 2017 25th European Signal Processing Conference (EUSIPCO), 1105–1109. https://doi.org/10.21256/zhaw-4053
Danafar, S., Piorkowski, M. and Kryszczuk, K. (2017) ‘Bayesian framework for mobility pattern discovery using mobile network events’, in 2017 25th European Signal Processing Conference (EUSIPCO). IEEE, pp. 1105–1109. Available at: https://doi.org/10.21256/zhaw-4053.
S. Danafar, M. Piorkowski, and K. Kryszczuk, “Bayesian framework for mobility pattern discovery using mobile network events,” in 2017 25th European Signal Processing Conference (EUSIPCO), 2017, pp. 1105–1109. doi: 10.21256/zhaw-4053.
DANAFAR, Somayeh, Michal PIORKOWSKI und Krzysztof KRYSZCZUK, 2017. Bayesian framework for mobility pattern discovery using mobile network events. In: 2017 25th European Signal Processing Conference (EUSIPCO). Conference paper. IEEE. 2017. S. 1105–1109. ISBN 978-0-9928626-7-1
Danafar, Somayeh, Michal Piorkowski, and Krzysztof Kryszczuk. 2017. “Bayesian Framework for Mobility Pattern Discovery Using Mobile Network Events.” Conference paper. In 2017 25th European Signal Processing Conference (EUSIPCO), 1105–9. IEEE. https://doi.org/10.21256/zhaw-4053.
Danafar, Somayeh, et al. “Bayesian Framework for Mobility Pattern Discovery Using Mobile Network Events.” 2017 25th European Signal Processing Conference (EUSIPCO), IEEE, 2017, pp. 1105–9, https://doi.org/10.21256/zhaw-4053.
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