Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Optimizing Passenger Train Services: A Model and a Genetic Algorithm Solution
Planning for passenger train services plays a vitally important strategic role in railway transportation. The objective of such planning is to achieve maximum net revenue for the rail operator whilst maximizing some specified functions of overall community benefit. However, there usually exists a trade-off between attracting passenger traffic and reducing operating costs. This paper puts forward a non-linear integer-programming model to optimize that trade-off. A Genetic Algorithm (GA) is introduced to solve the optimization problem efficiently. The model is described in the paper, together with the solution method. The paper also gives an example application of the proposed model by designing a passenger train service plan for China's GuangShen quasi-high-speed railway. The solution process is outlined in detail. A GA was found to be an effective technique to solve the stated transportation optimization problem. The procedure adopted here allows for practical considerations to be taken into account by providing a range of sub-optimal solutions in addition to the global optimal solution.
Optimizing Passenger Train Services: A Model and a Genetic Algorithm Solution
Planning for passenger train services plays a vitally important strategic role in railway transportation. The objective of such planning is to achieve maximum net revenue for the rail operator whilst maximizing some specified functions of overall community benefit. However, there usually exists a trade-off between attracting passenger traffic and reducing operating costs. This paper puts forward a non-linear integer-programming model to optimize that trade-off. A Genetic Algorithm (GA) is introduced to solve the optimization problem efficiently. The model is described in the paper, together with the solution method. The paper also gives an example application of the proposed model by designing a passenger train service plan for China's GuangShen quasi-high-speed railway. The solution process is outlined in detail. A GA was found to be an effective technique to solve the stated transportation optimization problem. The procedure adopted here allows for practical considerations to be taken into account by providing a range of sub-optimal solutions in addition to the global optimal solution.
Optimizing Passenger Train Services: A Model and a Genetic Algorithm Solution
Teng, Jing (Autor:in) / Han, Baoming (Autor:in) / Wong, Winggun (Autor:in)
Seventh International Conference of Chinese Transportation Professionals Congress (ICCTP) ; 2007 ; Shanghai, China
21.03.2008
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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