Allocating time and location information
β
Davy Janssens; Yu Lan; Geert Wets; Guoqing Chen
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Article
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2007
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Elsevier Science
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English
β 935 KB
The Reinforcement Machine Learning technique presented in this paper simulates time and location information for a given sequence of activities and transport modes. The main contributions to the current state-of-the art are the allocation of location information in the simulation of activity-travel