DocumentCode :
670448
Title :
A bi-level metaheuristic approach to designing Optimal Bus Transit Route Network
Author :
Wei Fan ; Gurmu, Zegeye ; Haile, Elias
Author_Institution :
Dept. of Civil Eng., Univ. of Texas at Tyler, Tyler, TX, USA
fYear :
2013
fDate :
26-29 May 2013
Firstpage :
308
Lastpage :
313
Abstract :
The purpose of this paper is to develop a bi-level metaheuristic approach to solving the Optimal Bus Transit Route Network Design Problem (OBTRNDP). A mix integer linear programming model is first formulated for the OBTRNDP. An innovative bi-level metaheuristic solution approach is then presented, in which the upper level finds the feasible network patterns (including the transit network routes and associated service frequencies), the lower level then evaluates such network solutions and provides feedback, and a genetic algorithm based metaheuristic approach is used to optimize the transit route network. Network experiments are conducted. Numerical results and related characteristics are described in detail. Future research directions are also given.
Keywords :
genetic algorithms; integer programming; linear programming; transportation; OBTRNDP; bilevel metaheuristic approach; genetic algorithm; innovative bilevel metaheuristic solution; mix integer linear programming model; optimal bus transit route network design problem; Algorithm design and analysis; Genetic algorithms; Linear programming; Numerical models; Optimization; Time-frequency analysis; Vehicles; Bi-level; Bus Transit Route Network; Genetic Algorithm; Metaheuristic; Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cyber Technology in Automation, Control and Intelligent Systems (CYBER), 2013 IEEE 3rd Annual International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4799-0610-9
Type :
conf
DOI :
10.1109/CYBER.2013.6705464
Filename :
6705464
Link To Document :
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