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A human trajectory estimate based on individual mobility pattern library

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

To predict track of an individual is an important problem in Intelligent Transportation System(ITS). In this paper, we present the individual mobility pattern to resolve the problem of the incompleteness of the records in the smart card by analyzing travel data. An individual mobility pattern library (IMPL) based on actual smart card data of Beijing is implemented and has been used as an application of alighting information estimating. The result of the estimation comes out to be the best to our knowledge, as well as the pattern coverage is nearly completed. IMPL can be used in other fields related to traveling behavior, such as alighting information completion, human trajectory estimation, etc. Moreover, IMPL can be constructed from the boarding information (or alighting information with some slight modification), which promises to remedy the drawback of incompleteness of smart card data.

Original languageEnglish
Title of host publicationProceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013
Pages1181-1185
Number of pages5
DOIs
StatePublished - 2013
Event2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013 - Beijing, China
Duration: 20 Aug 201323 Aug 2013

Publication series

NameProceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013

Conference

Conference2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013
Country/TerritoryChina
CityBeijing
Period20/08/1323/08/13

Keywords

  • Human trajectory
  • Mobility pattern
  • Smart card

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