Please use this identifier to cite or link to this item:
|Title:||Cross-entropy optimization model for population synthesis in activity-based microsimulation models|
|Authors:||Lee, D.-H. |
|Citation:||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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jul 13, 2018
WEB OF SCIENCETM
checked on Jun 13, 2018
checked on May 12, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.