References
- Amorim, G. A., Lopes, L. A. S. and Silva Junior, O. S. (2020) Discrete event-based railway simulation model for eco-efficiency evaluation. International Journal of Simulation Modelling, 19(3), 375–386. Available: https://doi.org/10.2507/IJSIMM19-3-517.
- CAREC. (2017) Unlocking the potential of railways: A railway strategy for CAREC, 2017–2030. Mandaluyong City, Philippines: Asian Development Bank, 2017. Available: http://dx.doi.org/10.22617/RPT178656-2.
- CAREC. (2021) Railway sector assessment for Republic of Kazakhstan. Central Asia Regional Economic Cooperation (CAREC), ADB, 2021. Available: https://www.carecprogram.org/uploads/CAREC-CRA-KAZ_7th_4MAR2021_WEB.pdf.
- Cui, Y., and Martin, U. (2011) Multi-scale simulation in railway planning and operation. PROMET – Traffic & Transportation, 23(6), 511–517. Available: https://hrcak.srce.hr/file/122067.
- Cui, Y., Martin, U. and Liang, J. (2018) PULSim: User-based adaptable simulation tool for railway planning and operations. Journal of Advanced Transportation, Volume 2018, Article ID 7284815. Available: http://dx.doi.org/10.1155/2018/7284815.
- Divis, R. and Kavicka., A. (2014) Train movement dynamics within Anylogic tool. In: Proceedings of the 26th European Modeling and Simulation Symposium, EMSS2014, 307–312. Available: https://www.msc-les.org/proceedings/emss/2014/EMSS2014_307.pdf.
- Johansson, I., Palmqvist, C.-W., Sipilä, H., Warg, J., and Bohlin, M. (2022) Microscopic and macroscopic simulation of early freight train departures. Journal of Rail Transport Planning & Management, 21, 100295. Available: https://doi.org/10.1016/j.jrtpm.2022.100295.
- Kotenko, A. G., Sattorov, S. B., Nehoroshkov, V. P., and Timuhin, K. M. (2021) Model for forecasting the dynamics and growth of the throughput of the Central Asian transport corridor lines. Journal of Physics: Conference Series, 2131, 032102. Available: doi:10.1088/1742-6596/2131/3/032102.
- Krugman, P. (1991) Increasing returns and economic geography. Journal of Political Economy, 99(3), 483–499. Available: pr.princeton.edu/pictures/g-k/krugman/krugman-increasing_returns_1991.pdf.
- Kumagai, S., Tsubota, K., and Gokan. T. (2021) Corridor developments for transforming Central Asia: a spatial computable general equilibrium model. Unlocking Transport Connectivity in the Trans-Caspian Region, edited by D. Azhgaliyeva and Y. Kalyuzhnova. Chapter 7, Tokyo, ADBI, 166-186. Available: https://www.adb.org/publications/unlocking-transport-connectivity-trans-caspian-corridor.
- Michal, G., Huynh, N., Shukla, N., Munoz, A., and Barthelemy, J. (2017) RailNet: A simulation model for operational planning of rail freight. Transportation Research Procedia, 25, 461–473. Available: https://doi.org/10.1016/j.trpro.2017.05.426.
- Moeinaddini, A., Shafahi, Y., and Mohammadhasani, R. (2017) A simulation model for train movements in the rail network. In: Proceedings of the Institution of Civil Engineers – Transport, 172(3), 152–163. Available: https://www.icevirtuallibrary.com/doi/abs/10.1680/jtran.16.00082.
- Nash, A., and Huerlimann, D. (2004) Railroad simulation using OpenTrack. Computers in Railways IX, 74, 45–54. Available: https://www.witpress.com/elibrary/wit-transactions-on-the-built-environment/74/12035.
- Radtke, A., and Hauptmann, D. (2004) Automated planning of timetables in large railway networks using a microscopic data basis and railway simulation techniques. Computers in Railways IX, 74, 615–625. Available: https://www.witpress.com/elibrary/wit-transactions-on-the-built-environment/74/12091.
- Široký, J., Nachtigall, P., Tischer, E., and Gašparík, J. (2021) Simulation of railway lines with a simplified interlocking system. Sustainability, 13, 1394. Available: https://doi.org/10.3390/su13031394.
- Tischer, E., Nachtigall, P., and Široký, J. (2020) The use of simulation modelling for determining the capacity of railway lines in the Czech conditions. Open Engineering, 10(1), 224–231. Available: https://doi.org/10.1515/eng-2020-0026.
- Tolujew, J., Yatskiv, I., Jackson I., and Reggelin, T. (2018) Dynamic model of the passenger flow on Rail Baltica. In: Proceedings of the 2018 Winter Simulation Conference, M. Rabe, A. A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson (eds.). IEEE Press, 3096-3107. Available: doi:10.1109/WSC.2018.8632549.
- Watanabe, D., Shibasaki, R., and Arai, H. (2021) Logistics policy analysis and network model simulation for cross-border transport in the Trans-Caspian transport corridor: the global intermodal logistics network simulation model. Unlocking Transport Connectivity in the Trans-Caspian Region, edited by D. Azhgaliyeva and Y. Kalyuzhnova. Chapter 8, Tokyo, ADBI, 187–206. Available: https://www.adb.org/publications/unlocking-transport-connectivity-trans-caspian-corridor.
- Zinser, M., Betz, T., Becker, M., Geilke, M., Terschlüsen, C., Kaluza, A., Johansson, I., and Warg, J. (2019) PRISM: A macroscopic Monte Carlo railway simulation. In: Proceedings of 12th World Congress on Railway Research (WCRR), Tokyo, Japan. Available: https://www.diva-portal.org/smash/record.jsf?pid=diva2%3A1475375&dswid=-5154