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https://www.um.edu.mt/library/oar/handle/123456789/125215| Title: | Vjaġġ – a thick-client smart-phone journey detection algorithm |
| Authors: | Camilleri, Michael P.J. Muscat, Adrian Buttigieg, Victor Attard, Maria |
| Keywords: | Location-based services Voyages and travels Identification Global Positioning System Smartphones Android (Electronic resource) Application software -- Development |
| Issue Date: | 2019 |
| Publisher: | arXiv |
| Citation: | Camilleri, M. P., Muscat, A., Buttigieg, V., & Attard, M. (2019). Vjaġġ --A Thick-Client Smart-Phone Journey Detection Algorithm. arXiv preprint arXiv:1908.10725. DOI: https://doi.org/10.48550/arXiv.1908.10725 |
| Abstract: | In this paper we describe , a battery-aware journey detection algorithm that executes on the mobile device. The algorithm can be embedded in the client app of the transport service provider or in a general purpose mobility data collector. The thick client setup allows the customer/participant to select which journeys are transferred to the server, keeping customers in control of their personal data and encouraging user uptake. The algorithm is tested in the field and optimised for both accuracy in registering complete journeys and battery power consumption. Typically the algorithm can run for a full day without the need of recharging and more than 88% of journeys are correctly detected from origin to destination, whilst 12% would be missing part of the journey. |
| URI: | https://www.um.edu.mt/library/oar/handle/123456789/125215 |
| Appears in Collections: | Scholarly Works - FacArtGeo |
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