Detail publikace

Population Mobility Data Retrieval from Wireless Cellular Networks

VOZNAK, V. HYLMAR, J. HENDRYCH, J. ORCIK, J. HAJEK, M. FUJDIAK, R. MISUREC, J.

Originální název

Population Mobility Data Retrieval from Wireless Cellular Networks

Anglický název

Population Mobility Data Retrieval from Wireless Cellular Networks

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

Dokumenty

BibTex


@inproceedings{BUT158731,
  author="Radek {Fujdiak} and Jiří {Mišurec}",
  title="Population Mobility Data Retrieval from Wireless Cellular Networks",
  annote="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.",
  booktitle="2019 Progress in Electromagnetics Research Symposium (PIERS-Rome)",
  chapter="158731",
  howpublished="online",
  year="2019",
  month="june",
  pages="1--9",
  type="conference paper"
}