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 language | English |
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Title of host publication | Adjunct Proceedings of the 14th International Conference on Location Based Services |
Editors | Peter Kiefer, Haosheng Huang, Nico van de Weghe, Martin Raubal |
Place of Publication | Zurich |
Publisher | ETH Zürich |
Pages | 221-222 |
Number of pages | 2 |
DOIs | |
Publication status | Published - 2018 |
Event | 14th Conference on Location Based Services - Zurich, Switzerland Duration: 15 Jan 2018 → 17 Jan 2018 http://lbs18.ethz.ch/ |
Conference
Conference | 14th Conference on Location Based Services |
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Abbreviated title | LBS 2018 |
Country/Territory | Switzerland |
City | Zurich |
Period | 15/01/18 → 17/01/18 |
Internet address |