Urban Wi-Fi fingerprinting along a public transport route
-
Guenther Retscher
and
Aizhan Bekenova
Abstract
The outreach of Wi-Fi localization is extended in this study for urban wide applications as they provide the high potential to employ them for numerous applications for localization and guidance in urban environments. The selected application presented in this paper 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 neighbourhood to work in the city centre and return along the same route. Special tramway 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 six employed smartphones as well as times of the day, e. g. in the morning at peak hours or at off-peak hours. From the long-time observations it is seen that the two on-board APs show a high stability of the RSSI signals at the same times of the day and along the whole route. It is therefore currently investigated how they can confirm and validate user localization along the route and if they can contribute to constrain the overall positioning solution in combination with the inertial smartphone sensors. Moreover, the railway track can serve as a further constraint. As an outlook on future work, the development of a Simultaneous Localization and Mapping (SLAM) solution with a fusion with the smartphone inertial sensors is proposed.
Acknowledgment
The revised and extended paper is based on a presentation given at the LBS 2019 conference held in Vienna, Austria. The authors would like to thank students from the LBS course 2019, namely Arbër Fazliu, Michael Hallett, Luke Harvey and Jenny Janssen, for the help in the extensive data acquisition. The paper also follows-up results presented at the ION Pacific PNT 2019 held in Honolulu, Hawaii, USA, and the cancelled IEEE/ION PLANS 2020 conference.
References
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© 2020 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Research Articles
- Urban Wi-Fi fingerprinting along a public transport route
- Study on the inter-annual hydrology-induced deformations in Europe using GRACE and hydrological models
-
Fault source investigation of the 6 December 2016
- Performance evaluation of real-time tightly-coupled GNSS PPP/MEMS-based inertial integration using an improved robust adaptive Kalman filter
- Prediction of RTK positioning integrity for journey planning
- A novel GNSS deformation feature extraction method based on ensemble improved LMD threshold denoising
Articles in the same Issue
- Frontmatter
- Research Articles
- Urban Wi-Fi fingerprinting along a public transport route
- Study on the inter-annual hydrology-induced deformations in Europe using GRACE and hydrological models
-
Fault source investigation of the 6 December 2016
- Performance evaluation of real-time tightly-coupled GNSS PPP/MEMS-based inertial integration using an improved robust adaptive Kalman filter
- Prediction of RTK positioning integrity for journey planning
- A novel GNSS deformation feature extraction method based on ensemble improved LMD threshold denoising
