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 Style AAA Style APA 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, July 12). Using Open Data Sources to Predict Motor Vehicle Accidents at a High Spatio-Temporal Resolution. Business Information Management. Retrieved from http://hdl.handle.net/2105/63576

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