Forecasting travel demand: a comparison of logit and artificial neural network methods

DOI10.1057/palgrave.jors.2600590zbMath1140.90334OpenAlexW1974116791MaRDI QIDQ3157726

M. C. M. de Carvalho, M. S. Dougherty, M. R. Wardman, A. S. Fowkes

Publication date: 19 January 2005

Published in: Journal of the Operational Research Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1057/palgrave.jors.2600590

zbMATH Keywords

transportsimulationneural networksforecastinglogit

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Transportation, logistics and supply chain management (90B06)

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