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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/1368

Title: The optimization of activity-travel sequences by means of reinforcement learning
Authors: JANSSENS, Davy
Lan, Y
WETS, Geert
Chen, G
Issue Date: 2006
Citation: ISKE 2006, International Conference on Intelligent Systems and Knowledge Engineering, Shangai, China.
Abstract: Given a sequence of activities and transport modes, this paper evaluates the use of a Reinforcement Machine Learning technique. The technique simulates time and location allocation for a given set of sequences and enables the prediction of a more complete and consistent activity pattern. A computer code has been established to automate the process and has been validated on empirical data.
URI: http://hdl.handle.net/1942/1368
Category: C2
Type: Conference Material
Appears in Collections: Research publications

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