Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/125215
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Camilleri, Michael P.J. | - |
dc.contributor.author | Muscat, Adrian | - |
dc.contributor.author | Buttigieg, Victor | - |
dc.contributor.author | Attard, Maria | - |
dc.date.accessioned | 2024-08-01T10:45:12Z | - |
dc.date.available | 2024-08-01T10:45:12Z | - |
dc.date.issued | 2019 | - |
dc.identifier.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 | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/125215 | - |
dc.description.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. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | arXiv | en_GB |
dc.rights | info:eu-repo/semantics/openAccess | en_GB |
dc.subject | Location-based services | en_GB |
dc.subject | Voyages and travels | en_GB |
dc.subject | Identification | en_GB |
dc.subject | Global Positioning System | en_GB |
dc.subject | Smartphones | en_GB |
dc.subject | Android (Electronic resource) | en_GB |
dc.subject | Application software -- Development | en_GB |
dc.title | Vjaġġ – a thick-client smart-phone journey detection algorithm | en_GB |
dc.type | article | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.identifier.doi | 10.48550/arXiv.1908.10725 | - |
dc.publication.title | arXiv preprint | en_GB |
Appears in Collections: | Scholarly Works - FacArtGeo |
Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.