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  1. Ana Sayfa
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Yazar "Gok, Mustafa" seçeneğine göre listele

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    A Benchmark Proposal for Route-Planning of Urban Bus Service
    (IEEE, 2015) Kılıç, Fatih; Gok, Mustafa
    This paper presents a model of Adana Urban Public Transportation network. This network can be used as a benchmark to test route-planning algorithms on fast expanding cities. In addition to the network model, a real travel demand matrix is obtained using electronic travel card data. The paper also presents multi-objective optimization results generated using genetic algorithm and NSGA-II algorithm. Solutions obtained are compared with the existing bus routes. The results indicate that over 40% savings in route length can be achieved when operators' demands are prioritized.
  • [ X ]
    Öğe
    A Benchmark Proposal for Route-Planning of Urban Bus Service
    (IEEE, 2015) Kilic, Fatih; Gok, Mustafa
    This paper presents a model of Adana Urban Public Transportation network. This network can be used as a benchmark to test route-planning algorithms on fast expanding cities. In addition to the network model, a real travel demand matrix is obtained using electronic travel card data. The paper also presents multi-objective optimization results generated using genetic algorithm and NSGA-II algorithm. Solutions obtained are compared with the existing bus routes. The results indicate that over 40% savings in route length can be achieved when operators' demands are prioritized.
  • [ X ]
    Öğe
    A demand based route generation algorithm for public transit network design
    (Pergamon-Elsevier Science Ltd, 2014) Kılıç, Fatih; Gok, Mustafa
    This paper presents a public transit network route generation algorithm. The main contribution of this work is the introduction of new route generation algorithms. The proposed route generation algorithm is tested on Mandl's Swiss Road network and the four large networks presented in recent previous work. Three parameters are used to evaluate the route sets generated by the proposed algorithm. These are the zero transfer percentage, the average travel time, and the total route cost. The route sets generated for the large networks have better parameter values compared to recent previous work. (C) 2014 Elsevier Ltd. All rights reserved.

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