Integrated data imputation and annotation tool: trace annotator

T. Feng, H.J.P. Timmermans

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Abstract

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
Original languageEnglish
Title of host publicationAdjunct Proceedings of the 14th International Conference on Location Based Services
EditorsPeter Kiefer, Haosheng Huang, Nico van de Weghe, Martin Raubal
Place of PublicationZurich
PublisherETH Zürich
Pages221-222
Number of pages2
DOIs
Publication statusPublished - 2018
Event14th Conference on Location Based Services - Zurich, Switzerland
Duration: 15 Jan 201817 Jan 2018
http://lbs18.ethz.ch/

Conference

Conference14th Conference on Location Based Services
Abbreviated titleLBS 2018
CountrySwitzerland
CityZurich
Period15/01/1817/01/18
Internet address

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