Hess, S, Bierlaire, M and Polak, JW (2007) A systematic comparison of continuous and discrete mixture models. European Transport, 37. 35 - 61 . ISSN 1825-3997
Abstract
Modellers are increasingly relying on the use of continuous random coefficients models, Such as Mixed Logit, for the representation of variations in tastes across individuals. Logit, for the representation of variations in tastes across individuals. In this paper, we provide an in- In this paper, We provide an in- depth comparison of the performance of the Mixed Logit model with that of its far less commonly used depth comparison of the performance of the Mixed Logit Model With That of ITS Commonly used to make less discrete mixture counterpart, making use of a combination of real and simulated datasets. discrete mixture counterpart, making use of a combination of real and simulated datasets. The results not The results not only show significant computational advantages for the discrete mixture approach, but also highlight only show significant computational advantages for the discrete mixture approach, but Also highlights greater flexibility, and show that, across a host of scenarios, the discrete mixture models are able to offer Greater Flexibility, and show That, across a host of scenarios, the discrete mixture models are Able to offer comparable or indeed superior model performance. indeed comparable or superior model performance.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2007, ISTIEE. This is an author produced version of a paper published in European Transport. Uploaded with permission from the publisher. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 12 Apr 2012 12:39 |
Last Modified: | 05 Jan 2017 03:03 |
Published Version: | http://www.istiee.org/te/ |
Status: | Published |
Publisher: | ISTIEE |
Refereed: | Yes |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:43629 |