Predicting Traffic Congestion  by Machine Learning: A case study of the Netherlands

Additional Metadata
Keywords	traffic congestion; machine learning; logistic regression; XGBoost; neural network
Thesis Advisor	Rosch, M.A.
Persistent URL	hdl.handle.net/2105/59381
Series	Business Economics
Organisation	Erasmus School of Economics
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	Bruin, R.A. de. (2021, September 3). Predicting Traffic Congestion by Machine Learning: A case study of the Netherlands. Business Economics. Retrieved from http://hdl.handle.net/2105/59381

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