Using Open Data Sources to Predict Motor Vehicle Accidents at a High Spatio-Temporal Resolution

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Keywords	urban mobility, smart cities, open data, traffic accident prediction, spatio-temporal data, random forests, artificial neural networks
Thesis Advisor	Dupont, Clarisse, Ghiassi-Farrokhfal, Yashar
Persistent URL	hdl.handle.net/2105/63576
Series	Business Information Management
Organisation	Rotterdam School of Management
Citation APA APA Style APA-ALL Style AAA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	de Bruijn, Sander. (2022). Using Open Data Sources to Predict Motor Vehicle Accidents at a High Spatio-Temporal Resolution. In Business Information Management.http://hdl.handle.net/2105/63576

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