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    Simultaneous Bus Transit Route Network and Frequency Setting Search Algorithm

    Source: Journal of Transportation Engineering, Part A: Systems:;2019:;Volume ( 145 ):;issue: 004
    Author:
    S. M. Hassan Mahdavi Moghaddam; K. Ramachandra Rao; G. Tiwari; Pravesh Biyani
    DOI: 10.1061/JTEPBS.0000229
    Publisher: American Society of Civil Engineers
    Abstract: A simultaneous bus route network design and frequency setting model is formulated as the weighted sum multiobjective genetic algorithm optimization. It aims to search for a near-optimum set of routes and corresponding frequencies while minimizing both user and operator costs. It is a nondeterministic polynomial time complete optimization problem, and searching the entire space through metaheuristic algorithms is impractical. It does require narrowing down the search space into some feasible regions. In this paper, two strategies are implemented, offering a distinct advantage in the finding of near-optimum solutions. First, a set of constraints are imposed on resources defined through experience and route generation and filtration algorithms are implemented to increase the quality of the candidate solution pool. Second, in order to increase the probability of selecting better performing set of routes and reducing genetic algorithm’s degree of randomness, a specially designed transfer minimization operator is implemented within the optimization procedure. Results are then compared on the basis of Mandl’s network that has been used as the benchmark by various researchers. Further, the sensitivity of the model to different rules and parameters is carried out. Obtained solutions perform better as compared to the previous techniques.
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      Simultaneous Bus Transit Route Network and Frequency Setting Search Algorithm

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    contributor authorS. M. Hassan Mahdavi Moghaddam; K. Ramachandra Rao; G. Tiwari; Pravesh Biyani
    date accessioned2019-03-10T11:55:35Z
    date available2019-03-10T11:55:35Z
    date issued2019
    identifier otherJTEPBS.0000229.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4254506
    description abstractA simultaneous bus route network design and frequency setting model is formulated as the weighted sum multiobjective genetic algorithm optimization. It aims to search for a near-optimum set of routes and corresponding frequencies while minimizing both user and operator costs. It is a nondeterministic polynomial time complete optimization problem, and searching the entire space through metaheuristic algorithms is impractical. It does require narrowing down the search space into some feasible regions. In this paper, two strategies are implemented, offering a distinct advantage in the finding of near-optimum solutions. First, a set of constraints are imposed on resources defined through experience and route generation and filtration algorithms are implemented to increase the quality of the candidate solution pool. Second, in order to increase the probability of selecting better performing set of routes and reducing genetic algorithm’s degree of randomness, a specially designed transfer minimization operator is implemented within the optimization procedure. Results are then compared on the basis of Mandl’s network that has been used as the benchmark by various researchers. Further, the sensitivity of the model to different rules and parameters is carried out. Obtained solutions perform better as compared to the previous techniques.
    publisherAmerican Society of Civil Engineers
    titleSimultaneous Bus Transit Route Network and Frequency Setting Search Algorithm
    typeJournal Paper
    journal volume145
    journal issue4
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/JTEPBS.0000229
    page04019011
    treeJournal of Transportation Engineering, Part A: Systems:;2019:;Volume ( 145 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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