Urban Wi-Fi Fingerprinting for Routing of Multi-modal Transport Users

Guenther Retscher, Aizhan Bekenova

Abstract: The paper presents a study on the application how a smartphone user can be located using Wi-Fi signal strength observations in a multi-modal public transport network for routing and guidance. For that purpose, received signal strength indicator (RSSI) values are collected over a period of several months for users who are travelling from home in a residential neighborhood to work in downtown and return along the same route. In a first step, investigations are carried out concerning the availability, visibility and RSSI stability of the Wi-Fi signal behavior along the routes. The most significant novelty of this study is the use of the RSSI observations of the mobile Access Points (APs) installed on the trams. Experiments conducted along the selected tram route leading through combined out-/indoor environments are fully documented. A detailed analyses reveals that significant differences exists between times of the day, e.g. in the morning at peak hours or at off-peak hours.
Published in: Proceedings of the ION 2019 Pacific PNT Meeting
April 8 - 11, 2019
Hilton Waikiki Beach
Honolulu, Hawaii
Pages: 98 - 107
Cite this article: Retscher, Guenther, Bekenova, Aizhan, "Urban Wi-Fi Fingerprinting for Routing of Multi-modal Transport Users," Proceedings of the ION 2019 Pacific PNT Meeting, Honolulu, Hawaii, April 2019, pp. 98-107.
https://doi.org/10.33012/2019.16776
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