| Autor: |
Prokhorchenko, Аndrii, Parkhomenko, Larysa, Kyman, Andrii, Matsiuk, Viacheslav, Stepanova, Jelena |
| Předmět: |
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| Zdroj: |
Procedia Computer Science; 2019, Vol. 149, p86-94, 9p |
| Abstrakt: |
Abstract One of the main directions of increasing the efficiency of the operating model of the railways functioning is the reduction of logistics costs in the transportation of wagon and group shipments due to the improvement of the technology for accelerating the passage of low-capacity railcar traffic on the basis of the organization of the circulation of grouped trains of operational purpose, taking into account the synchronization of the plan for the formation of grouped trains with a schedule of traffic. In order to provide the railway system with the properties of adaptive control of low-capacity railcar traffic at the networks of large dimensions, an optimization mathematical model has been developed. To optimize this mathematical model, it is proposed to use a real coded genetic algorithm. The coding and decoding process of the chromosome of the genetic algorithm has been formed, which reflects the technological features of the implementation of the train formation plan of the grouped trains of operational purpose. This approach will allow to increase the level of organization of transportations and to accelerate the delivery of cargoes and to increase the competitiveness of railways in the market of transport services. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
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