<div class="csl-bib-body">
<div class="csl-entry">Retscher, G., Bekenova, A., Fazliu, A., Hallett, M., Harvey, L., & Janssen, J. (2019). Dynamic Wi-Fi Reference Point Recognition along Public Transport Routes. In <i>LBS 2019; Adjunct Proceedings of the 15th International Conference on Location-Based Services / Gartner, Georg; Huang, Haosheng</i>. Wien. https://doi.org/10.34726/lbs2019.26</div>
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dc.identifier.uri
https://doi.org/10.34726/lbs2019.26
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/673
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dc.description.abstract
The ubiquity of Wireless Fidelity (Wi-Fi) signals in urban environments has the high potential to employ them for numerous applications for localization and guidance in urban environments. The reach of Wi-Fi localization is extended in this study for urban wide applications and therefore user localization is employed for outdoor and combined in-/outdoor environments. The chosen application is the localization and routing of public transport smartphone users. For the conducted investigations, Received Signal Strength Indicator (RSSI) values are collected for users who are travelling from home in a residential neighborhood to work in downtown and return along the same route. Special tram trains are selected which provide two on-board Wi-Fi Access Points (APs). Firstly, the availability, visibility and RSSI stability of the Wi-Fi signal behavior of these APs and the APs in the surrounding environment along the routes is analyzed. Then the trajectories are estimated based on location fingerprinting. A first analyses reveals that significant differences exists between the four employed smartphones as well as times of the day, e.g. in the morning at peak hours or at off-peak hours.
en
dc.language
English
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dc.language.iso
en
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dc.publisher
Wien
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
Wi-Fi positioning
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dc.subject
User localization
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dc.subject
Public transport
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dc.subject
RSSI measurements
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dc.subject
Performance analysis
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dc.title
Dynamic Wi-Fi Reference Point Recognition along Public Transport Routes
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dc.type
Inproceedings
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dc.type
Konferenzbeitrag
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dc.rights.license
Creative Commons Namensnennung 4.0 International
de
dc.rights.license
Creative Commons Attribution 4.0 International
en
dc.relation.publication
LBS 2019; Adjunct Proceedings of the 15th International Conference on Location-Based Services / Gartner, Georg; Huang, Haosheng