Integrated data imputation and annotation tool: trace annotator

T. Feng, H.J.P. Timmermans

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

16 Downloads (Pure)

Samenvatting

This paper presents a tool for integrated imputation and annotation of GPS tracking data, Trace Annotator. The tool is designed to efficiently and effectively transform raw GPS data into segmented activity and travel data where transportation modes, travel purpose at destinations, time and route information related to the spatial and temporal profiles were automatically generated. Bayesian belief network and other main machine learning approaches have been incorporated. The tool has been empirically applied and validated in several national and international pilots
Originele taal-2Engels
TitelAdjunct Proceedings of the 14th International Conference on Location Based Services
RedacteurenPeter Kiefer, Haosheng Huang, Nico van de Weghe, Martin Raubal
Plaats van productieZurich
UitgeverijETH Zürich
Pagina's221-222
Aantal pagina's2
DOI's
StatusGepubliceerd - 2018
Evenement14th Conference on Location Based Services - Zurich, Zwitserland
Duur: 15 jan 201817 jan 2018
http://lbs18.ethz.ch/

Congres

Congres14th Conference on Location Based Services
Verkorte titelLBS 2018
LandZwitserland
StadZurich
Periode15/01/1817/01/18
Internet adres

Vingerafdruk

Duik in de onderzoeksthema's van 'Integrated data imputation and annotation tool: trace annotator'. Samen vormen ze een unieke vingerafdruk.

Citeer dit