Improving the forecast of freight transport demand using machine learning and time series analysis

Bruckmann, Dirk; Jackson, Clare; Ott, Thomas; Weidmann, Ulrich

Publication type:	Conference paper
Type of review:	Peer review (abstract)
Title:	Improving the forecast of freight transport demand using machine learning and time series analysis
Authors:	Bruckmann, Dirk Jackson, Clare Ott, Thomas Weidmann, Ulrich
Conference details:	14th Swiss Transport Research Conference, Ascona, 14-16 May 2014
Issue Date:	2014
Language:	English
Subject (DDC):	003: Systems
URI:	https://digitalcollection.zhaw.ch/handle/11475/4397
Fulltext version:	Published version
License (according to publishing contract):	Licence according to publishing contract
Departement:	Life Sciences and Facility Management
Organisational Unit:	Institute of Computational Life Sciences (ICLS)
Appears in collections:	Publikationen Life Sciences und Facility Management

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Bruckmann, D., Jackson, C., Ott, T., & Weidmann, U. (2014). Improving the forecast of freight transport demand using machine learning and time series analysis. 14th Swiss Transport Research Conference, Ascona, 14-16 May 2014.

Bruckmann, D. et al. (2014) ‘Improving the forecast of freight transport demand using machine learning and time series analysis’, in 14th Swiss Transport Research Conference, Ascona, 14-16 May 2014.

D. Bruckmann, C. Jackson, T. Ott, and U. Weidmann, “Improving the forecast of freight transport demand using machine learning and time series analysis,” in 14th Swiss Transport Research Conference, Ascona, 14-16 May 2014, 2014.

BRUCKMANN, Dirk, Clare JACKSON, Thomas OTT und Ulrich WEIDMANN, 2014. Improving the forecast of freight transport demand using machine learning and time series analysis. In: 14th Swiss Transport Research Conference, Ascona, 14-16 May 2014. Conference paper. 2014

Bruckmann, Dirk, Clare Jackson, Thomas Ott, and Ulrich Weidmann. 2014. “Improving the Forecast of Freight Transport Demand Using Machine Learning and Time Series Analysis.” Conference paper. In 14th Swiss Transport Research Conference, Ascona, 14-16 May 2014.

Bruckmann, Dirk, et al. “Improving the Forecast of Freight Transport Demand Using Machine Learning and Time Series Analysis.” 14th Swiss Transport Research Conference, Ascona, 14-16 May 2014, 2014.