TRACKING VEHICLE IN GSM NETWORK TO SUPPORT INTELLIGENT TRANSPORTATION SYSTEMS
The penetration of GSM capable devices is very high, especially in Europe. To exploit the potential of turning these mobile devices into dynamic data acquisition nodes that provides valuable data for Intelligent Transportation Systems (ITS), position information is needed. The paper describes the ba...
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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doaj-0b9875c3616144de8c57a444d777edfc2020-11-25T00:57:50ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342012-07-01XXXIX-B213914410.5194/isprsarchives-XXXIX-B2-139-2012TRACKING VEHICLE IN GSM NETWORK TO SUPPORT INTELLIGENT TRANSPORTATION SYSTEMSZ. Koppanyi0T. Lovas1A. Barsi2H. Demeter3A. Beeharee4A. Berenyi5BME, Dept. of Photogrammetry and Geoinformatics, Műegyetem rkp. 3., 1111 Budapest, HungaryBME, Dept. of Photogrammetry and Geoinformatics, Műegyetem rkp. 3., 1111 Budapest, HungaryBME, Dept. of Photogrammetry and Geoinformatics, Műegyetem rkp. 3., 1111 Budapest, HungaryNokia Siemens Networks, Köztelek utca 6., 1092 Budapest, HungaryUCL, Gower Street, London WC1E 6BT, UKBME, Dept. of Photogrammetry and Geoinformatics, Műegyetem rkp. 3., 1111 Budapest, HungaryThe penetration of GSM capable devices is very high, especially in Europe. To exploit the potential of turning these mobile devices into dynamic data acquisition nodes that provides valuable data for Intelligent Transportation Systems (ITS), position information is needed. The paper describes the basic operation principles of the GSM system and provides an overview on the existing methods for deriving location data in the network. A novel positioning solution is presented that rely on handover (HO) zone measurements; the zone geometry properties are also discussed. A new concept of HO zone sequence recognition is introduced that involves application of Probabilistic Deterministic Finite State Automata (PDFA). Both the potential commercial applications and the use of the derived position data in ITS is discussed for tracking vehicles and monitoring traffic flow. As a practical cutting edge example, the integration possibility of the technology in the SafeTRIP platform (developed in an EC FP7 project) is presented.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B2/139/2012/isprsarchives-XXXIX-B2-139-2012.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Z. Koppanyi T. Lovas A. Barsi H. Demeter A. Beeharee A. Berenyi |
spellingShingle |
Z. Koppanyi T. Lovas A. Barsi H. Demeter A. Beeharee A. Berenyi TRACKING VEHICLE IN GSM NETWORK TO SUPPORT INTELLIGENT TRANSPORTATION SYSTEMS The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
author_facet |
Z. Koppanyi T. Lovas A. Barsi H. Demeter A. Beeharee A. Berenyi |
author_sort |
Z. Koppanyi |
title |
TRACKING VEHICLE IN GSM NETWORK TO SUPPORT INTELLIGENT TRANSPORTATION SYSTEMS |
title_short |
TRACKING VEHICLE IN GSM NETWORK TO SUPPORT INTELLIGENT TRANSPORTATION SYSTEMS |
title_full |
TRACKING VEHICLE IN GSM NETWORK TO SUPPORT INTELLIGENT TRANSPORTATION SYSTEMS |
title_fullStr |
TRACKING VEHICLE IN GSM NETWORK TO SUPPORT INTELLIGENT TRANSPORTATION SYSTEMS |
title_full_unstemmed |
TRACKING VEHICLE IN GSM NETWORK TO SUPPORT INTELLIGENT TRANSPORTATION SYSTEMS |
title_sort |
tracking vehicle in gsm network to support intelligent transportation systems |
publisher |
Copernicus Publications |
series |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
issn |
1682-1750 2194-9034 |
publishDate |
2012-07-01 |
description |
The penetration of GSM capable devices is very high, especially in Europe. To exploit the potential of turning these mobile devices into dynamic data acquisition nodes that provides valuable data for Intelligent Transportation Systems (ITS), position information is needed. The paper describes the basic operation principles of the GSM system and provides an overview on the existing methods for deriving location data in the network. A novel positioning solution is presented that rely on handover (HO) zone measurements; the zone geometry properties are also discussed. A new concept of HO zone sequence recognition is introduced that involves application of Probabilistic Deterministic Finite State Automata (PDFA). Both the potential commercial applications and the use of the derived position data in ITS is discussed for tracking vehicles and monitoring traffic flow. As a practical cutting edge example, the integration possibility of the technology in the SafeTRIP platform (developed in an EC FP7 project) is presented. |
url |
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B2/139/2012/isprsarchives-XXXIX-B2-139-2012.pdf |
work_keys_str_mv |
AT zkoppanyi trackingvehicleingsmnetworktosupportintelligenttransportationsystems AT tlovas trackingvehicleingsmnetworktosupportintelligenttransportationsystems AT abarsi trackingvehicleingsmnetworktosupportintelligenttransportationsystems AT hdemeter trackingvehicleingsmnetworktosupportintelligenttransportationsystems AT abeeharee trackingvehicleingsmnetworktosupportintelligenttransportationsystems AT aberenyi trackingvehicleingsmnetworktosupportintelligenttransportationsystems |
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1725222592274497536 |