Poster abstract: Human mobility modeling on metropolitan scale based on multiple cellphone networks

Zhihan Fang, Desheng Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Modeling human mobility patterns from CDR(Call Detail Record) data is an efficient way to understand the effects of human movements on transportation, society and the environment. Previous human mobility models are focused on single cellphone network CDR data. In the poster, we present a framework to model human mobility patterns on CDR data from multiple cellphone networks. Based on data analysis from multiple cellphone networks, our target is to provide statistic features and mobility patterns in multiple granularities of spatio-temporal resolutions to support novel urban services. Compared with previous work, our approaches aim to establish a more diverse and more stable framework, which is a crucial prerequisite for various smart city services and applications.

Original languageEnglish (US)
Title of host publicationProceedings - 2017 IEEE/ACM 2nd International Conference on Internet-of-Things Design and Implementation, IoTDI 2017 (part of CPS Week)
PublisherAssociation for Computing Machinery, Inc
Pages321-322
Number of pages2
ISBN (Electronic)9781450349666
DOIs
StatePublished - Apr 18 2017
Event2nd IEEE/ACM International Conference on Internet-of-Things Design and Implementation, IoTDI 2017 - Pittsburgh, United States
Duration: Apr 18 2017Apr 20 2017

Publication series

NameProceedings - 2017 IEEE/ACM 2nd International Conference on Internet-of-Things Design and Implementation, IoTDI 2017 (part of CPS Week)

Other

Other2nd IEEE/ACM International Conference on Internet-of-Things Design and Implementation, IoTDI 2017
Country/TerritoryUnited States
CityPittsburgh
Period4/18/174/20/17

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Control and Systems Engineering
  • Computer Networks and Communications

Keywords

  • Data Analysis
  • Human Mobility
  • Multiple Cellphone Networks

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