Population Mobility Data Retrieval from Wireless Cellular Networks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F19%3APU133353" target="_blank" >RIV/00216305:26220/19:PU133353 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Population Mobility Data Retrieval from Wireless Cellular Networks

Popis výsledku v původním jazyce

The paper deals with big data analytic of location and operational data of wireless cellular networks. The spatial and temporal data in mobile networks provides an important information about movements in territory. First of all, all records had been anonymized before were processed. Results are presented in the aggregated form as a number of residents, in-commuters and out-commuters in the selected territory. The overall view provides detailed information concerning a granularity at the level of residential units and also time span. For this purpose, authors implemented new approaches, algorithms, individual components and tools in the Apache Hadoop environment. The innovation of the approach consists in the possibility to monitor movements and also to better estimate the number of residents present on a particular territory. The traditional approach only applied the balance principle, it monitored the usual residents and aimed at estimating the number of people who left the territory and the number of people who arrived into the territory for a particular reason. Using location and operational data of cellular networks enables to easily estimate the number of people present without knowing any other factors. The goal of our research was to provide information on occupancy of selected train lines based on aggregated and evaluated data of mobile operator.

Název v anglickém jazyce

Population Mobility Data Retrieval from Wireless Cellular Networks

Popis výsledku anglicky

The paper deals with big data analytic of location and operational data of wireless cellular networks. The spatial and temporal data in mobile networks provides an important information about movements in territory. First of all, all records had been anonymized before were processed. Results are presented in the aggregated form as a number of residents, in-commuters and out-commuters in the selected territory. The overall view provides detailed information concerning a granularity at the level of residential units and also time span. For this purpose, authors implemented new approaches, algorithms, individual components and tools in the Apache Hadoop environment. The innovation of the approach consists in the possibility to monitor movements and also to better estimate the number of residents present on a particular territory. The traditional approach only applied the balance principle, it monitored the usual residents and aimed at estimating the number of people who left the territory and the number of people who arrived into the territory for a particular reason. Using location and operational data of cellular networks enables to easily estimate the number of people present without knowing any other factors. The goal of our research was to provide information on occupancy of selected train lines based on aggregated and evaluated data of mobile operator.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20202 - Communication engineering and systems

Projekt

<a href="/cs/project/LO1401" target="_blank" >LO1401: Interdisciplinární výzkum bezdrátových technologií</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2019 Progress in Electromagnetics Research Symposium (PIERS-Rome)

ISBN

978-4-88552-316-8

ISSN

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e-ISSN

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Počet stran výsledku

9

Strana od-do

1-9

Název nakladatele

Neuveden

Místo vydání

Neuveden

Místo konání akce

Řím

Datum konání akce

17. 6. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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