Genetic Algorithm for Bus Frequency Optimization
Publication: Journal of Transportation Engineering
Volume 136, Issue 6
Abstract
In this paper, a bilevel programming model for the bus frequency design is presented, which determines the optimal bus frequencies aiming to minimize the total travel time of passengers subject to the constraint on the overall fleet size of each company by accounting for the route choice behaviors of the users. The objective of the lower level is to assign transit trips to bus route network based on optimal strategy. In the upper level, bus frequencies of routes are optimized as a result of passenger assignment. An iterative approach, which consists of a genetic algorithm and a label-marking method, is used to solve the bilevel model. Finally, the model and the algorithms are illustrated with two test examples. The results show that the optimization can improve the local service level of one company, and the proper integration of several companies probably improves the efficiency of resources and the service level of the whole transit system.
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Acknowledgments
This research is financed by the National Science Foundation for Postdoctoral Scientists of China under Grant No. NSF20080440168 and the Doctoral Program Foundation for Young Scholar of Institutions of Higher Education of China through Project No. UNSPECIFIED20070151013.
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Information & Authors
Information
Published In
Journal of Transportation Engineering
Volume 136 • Issue 6 • June 2010
Pages: 576 - 583
Copyright
© 2010 ASCE.
History
Received: Oct 30, 2008
Accepted: Oct 12, 2009
Published online: Oct 14, 2009
Published in print: Jun 2010
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