Tytuł artykułu
Treść / Zawartość
Pełne teksty:
Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
This article presents a Train on Railway Track simulation model and program developed by the authors. The model implements the module for multiple-criteria optimization with a set of proposed objective functions allowing reductions in train passing time, total costs, energy consumption, and adverse environmental impacts. The Train on Railway Track simulator has been developed to allow both the simulation itself and the ride optimization. The main achievement is the development of an algorithm that simulates the passage of a train over 500 km, the duration of which did not exceed two minutes. We present an analysis of the impact of model changes on the duration of the simulation and the accuracy of the results obtained. This allows the use of these achievements in simulations carried out for the railway, automotive, or aviation industries as well. Changes in the classical approach to optimization proposed by the authors made it possible to obtain results directly by solving classical systems of equations. The change in the approach to the optimization and system algorithm has reduced the operating time of the optimization system from thousands of simulations to a single simulation with an additional optimization process that takes several minutes to calculate. This article is a continuation of the description of the work performed, and basic information about the developed simulation model and software functionality is included in a separate publication [13].
Czasopismo
Rocznik
Tom
Strony
137--150
Opis fizyczny
Bibliogr. 13 poz.
Twórcy
autor
- Silesian University of Technology, Faculty of Transport and Aviation Engineering; Krasinskiego 8, 40-019 Katowice, Poland
autor
- Cracow University of Technology, Faculty of Mechanical Engineering; al. Jana Pawła II 37, 31-864 Cracow, Poland
autor
- Silesian University of Technology, Faculty of Transport and Aviation Engineering; Krasinskiego 8, 40-019 Katowice, Poland
autor
- Silesian University of Technology, Faculty of Transport and Aviation Engineering; Krasinskiego 8, 40-019 Katowice, Poland
autor
- Silesian University of Technology, Faculty of Transport and Aviation Engineering; Krasinskiego 8, 40-019 Katowice, Poland
Bibliografia
- 1. Mierzejewski, L. & Szeląg, A. Zwiększanie efektywności energetycznej transportu szynowego. Technika Transportu Szynowego. 2008. Vol. 12. P. 12-18. [In Polish: Increasing the energy efficiency of rail transport].
- 2. Zhengcai, J. Introduction of energy saving situation of china Railways. In: 2nd UIC Railway Energy Efficiency Conference (UIC-REEC). Paris, 4-5 February 2004.
- 3. Pellegrini, P. Optimization for complex problems in air and rail transport. Optimization and Control [math.OC]. Université de Lille 1, Sciences et Technologies. 2018.
- 4. Wu, Q. & Li, Y. & Dan, P. Optimization of urban rail transit station spacing for minimizing passenger travel time. Journal of Rail Transport Planning & Management. 2022. Vol. 22. No. 100317.
- 5. Corlu, C.G. & Torre, R. & Serrano-Hernandez, A. & Juan, A.A. & Faulin, J. Optimizing energy consumption in transportation: literature review, insights, and research opportunities. Energies. 2020. Vol. 13. No. 1115.
- 6. Urbaniak, M. & Kardas-Cinal, E. Optimization of train energy cooperation using scheduled service time reserve. Energies. 2022. Vol. 15(1). No. 119.
- 7. Pawlik, M. Implementation of the New Control Command Vital Railway System, Overcoming Associated Challenges. In: TranSopot 2016: Sustainable Transport Development, Innovation and Technology. 2017. P. 83-93.
- 8. Fletcher, D.I. & Harrison, R.I. & Nallaperuma, S. TransEnergy - a tool for energy storage optimization, peak power and energy consumption reduction in DC electric railway systems. Journal of Energy Storage. 2020. Vol. 30. No. 101425.
- 9. Naldinia, F. & Pellegrinib, P. & Rodriguez, J. Real-Time Optimization of Energy Consumption in Railway Networks. In: 24th Euro Working Group on Transportation Meeting, EWGT. Aveiro, Portugal, 2021. Transportation Research Procedia. 2022. Vol 62. P. 35-42.
- 10. McGuire, M. & Linder, D. Train simulation on British Rail. Transactions on the Built Environment. WIT Press. 1994. Vol. 6. P. 437- 444.
- 11. Cui, Y. & Martin, U. & Liang, J. PULSim: User-Based Adaptable Simulation Tool for Railway Planning and Operations. Journal of Advanced Transportation. 2018. Vol. 2018. Article ID 7284815.
- 12. Rui, Y. & Ruifang, M. & Feng, J. A High-Speed Train Operation Plan Inspection Simulation Model. Mathematical Problems in Engineering. 2018. Vol. 2018. Article ID 9202986.
- 13. Mańka, A. & Konieczny, J. & Kisielewski, P. Simulation of train run along a selected route taking into account optimal control. In: Sładkowski, A. & etc. (eds.) Transport problems 2020: XII International scientific conference & IX International symposium of young researchers. Katowice, 2020.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7833cf8a-1dde-4671-8053-a80bd5474a43