Chapter
Nov 12, 2013
Parameter Estimation of Logit Route Choice Model by Artificial Bee Colony Algorithm
Authors: Changxiang Zhao and Jun Li [email protected]Author Affiliations
Publication: ICTE 2013: Safety, Speediness, Intelligence, Low-Carbon, Innovation
Abstract
A modified Artificial Bee Colony Algorithm, which is an emergent intelligent swarm algorithm with strong optimization ability, is proposed to estimate the parameters of Logit route choice mode. It can be used to reduce computation and increase accuracy. The algorithm takes the logarithmic likelihood function of the Logit model as the objective function and the utility function coefficients as variables, which are the parameters to be calibrated. The characteristic variables are given by survey data. Finally, parameters are obtained by maximizing the utility function. The numerical example shows that the proposed method is able to estimate Logit model parameters rapidly and effectively and has a better performance compared with traditional methods.
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© 2013 American Society of Civil Engineers.
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Published online: Nov 12, 2013
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Changxiang Zhao
School of Engineering, Sun Yat-sen University, Guangzhou, 510006, China
School of Engineering, Sun Yat-sen University, Guangzhou, 510006, China. E-mail: [email protected]
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