Please use this identifier to cite or link to this item: https://doi.org/10.3141/2255-03
Title: Cross-entropy optimization model for population synthesis in activity-based microsimulation models
Authors: Lee, D.-H. 
Fu, Y.
Issue Date: 1-Dec-2011
Source: Lee, D.-H., Fu, Y. (2011-12-01). Cross-entropy optimization model for population synthesis in activity-based microsimulation models. Transportation Research Record (2255) : 20-27. ScholarBank@NUS Repository. https://doi.org/10.3141/2255-03
Abstract: Microsimulation techniques for disaggregate activity-based travel demand models are expected to synthesize a desired number of fully specified individual activity patterns. A data prerequisite for this technique is the so-called synthetic population, a key input for activity-generating procedures. The iterative proportional fitting method has been widely used to estimate the multiway demographic tables for different geographic areas. This study proposed a cross-entropy optimization model in which generalized constraints for different demographic characteristics of the synthetic population could be included. A quasi-Newton algorithm was devised to solve the proposed problem. Encouraging results obtained from the model application suggested that the proposed method held much promise for generating a more realistic synthetic population with different types of demographic characteristics and could be generally applied in different geographic areas.
Source Title: Transportation Research Record
URI: http://scholarbank.nus.edu.sg/handle/10635/58995
ISSN: 03611981
DOI: 10.3141/2255-03
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