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An ETA prediction model for intermodal transport networks based on machine learning

Balster, Andreas; Hansen, Ole; Friedrich, Hanno; … - In: Business & information systems engineering 62 (2020) 5, pp. 403-416

Persistent link: https://www.econbiz.de/10012308078

A comparison of the predictive potential of artificial neural networks and nested logit models for commuter mode choice

Hensher, David A.; Ton, Tu T. - In: Transportation research / E : an international journal 36 (2000) 3, pp. 155-172

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A transactions choice model for forecasting demand for alternative-fuel vehicles

Brownstone, David; Bunch, David S.; Golob, Thomas F.; … - In: Research in transportation economics 4 (1996), pp. 87-129

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Urban travel demand modeling : from individual choices to general equilibrium

Oppenheim, Norbert - 1995

Persistent link: https://www.econbiz.de/10013490516

Ein Generalized Neural Logit-Modell zur Prognose von Flughafen- und Zugangsverkehrsmittelwahl

Gelhausen, Marc Christopher - 2007

Persistent link: https://www.econbiz.de/10003632418

Analysis on predict model of railway passenger travel factors judgment with soft-computing methods

Xi, Yan; Li, Jing - In: Journal of industrial engineering and management : JIEM 7 (2014) 1, pp. 100-114

Purpose: With the development of the transportation, more traveling factors acting on the railway passengers change greatly with the passengers’ choice. With the help of the modern information computing technology, the factors were integrated to realize quantitative analyze according to the...

Persistent link: https://www.econbiz.de/10011904352