- Babazadeh, M., Ghadimi,Kh.Mohseni,R. (2009). “Effect of investment in transportation on economic growth in Iran”, Iranian Journal of Trade Studies(IJTC) Quarterly, Institute for Trade Studies and Research, VOL.13, Issue 50,Serial Number 50, PP.157-199.
- Rasafi, A. A. and Zarabadipour, S. (2009). “The Study of Sustainable Development of Transportation in Iran Using a Multi-Criteria Analysis”, Journal of Environmental Science and Technology, Vol 11, Issue 2, serial number 2, PP. 33-46.
- Jarašu, A. and Cižiuniene, K. (2021). “Ensuring Sustainable Freight Carriage through Interoperability between Maritime and Rail Transport”, Sustainability, Vol 13, Issue 22,
https://doi.org/10.3390/su132212766.
- Yang, C., Sun, Y., Ladubec,C., & Liu, Y. (2021). “Developing Machine Learning-Based Models for Railway Inspection”, Applied Sciences, Vol11, Issue1,
https://doi.org/10.3390/app11010013.
- Vasudevan, M., Townsend, H., Nhi Dang T., O’ Hara, A., Burnier, C. and Ozbay, K. (2020). “Identifying Real-World Transportation Applications Using Artificial Intelligence (AI), Summary of Potential Application of AI in Transportation”,Final Report, U.S. Department of Transportation,Office of the Assistant Secretary for Research and Technology,Publication Number: FHWA-JPO-20-787.
- Nazari, S., (2022). “Necessity of structural reforms in rail transportation” Monthly of Iran's National Productivity Organization, third year, Number 28, page 6. https://www.npo.gov.ir/productivity-journal. (In Persian).
- Niestadt, M., Debyser, A., Scordamaglia, D. and Pape, M. (2019). “Artificial intelligence in transport Current and future developments, opportunities & challenges”, Members' Research Service, Infrastructures 6(10), European Union, PE 609-635.
- Institutional map of the actors of the rail transport industry (drawing interactions and the level of effects and influence) (2018). Trade association of rail transport companies and related services. (In Persian).
- Yin, M., Li, K., Cheng, X. (2020). “A review on artificial intelligence in high-speed Rail”, Transportation Safety and Environment, Vol 2, Issue 4, PP. 247–259. https://doi.org/10.1093/tse/tdaa022.
- Pappaterra, M, J., Flammini, F., Vittorini, V. and Bešinovi´c, N. (2021). “A Systematic Review of Artificial Intelligence Public Datasets for Railway Applications”, Infrastructures, Vol 6, Issue 10,
https://doi.org/10.3390/infrastructures6100136.
- Zare, H. and Rahmani, M., F. “Challenges and barriers of intermodal transport processing in Iran”, (2012). the first conference on the role of multimodal transport in national and international trade, Tehran, https://civilica. com/doc/159467.
https://www.mapnagroup.com/fa/companies/mapna-multimodal-transportation
- Khakipour, S. and Nazarpour, M. (2012). “Challenges and obstacles of multimodal transport processing from the perspective of laws and regulations in Iran”, the first conference on the role of multimodal transport in national and international trade, Tehran, https ://civilica.com/doc/159466.
- Jafari Nejhad, S, A. “Port and Sea Scientific Research Monthly”, (2009). Course 24, Consecutive 161 series, new issue, Number 26, PP.58-61. https://www.sid.ir/paper/493984/fa.
- Lashgari, M., Akbari, A, A. (2020). “Fleet deployment, ship routing and refueling optimization problem”, Journal of Marine Sciences and Technology, Vol 18, Issue 4, Serial Number 4, PP.33-48. https://doi.org/10.22113/jmst.2019.135211.2174.
- Tang, R. De Donato, L., Be˘sinovi, N., Flammini, F, M.P., Goverde, R., Lin, Z., Liu, R., Tang, T., Vittorini, V., Wang, Z. (2022). “A literature review of Artificial Intelligence applications in railway systems”, Transportation Research Part C: Emerging Technologies, Volume140, https://doi.org/10.1016/j.trc.2022.103679.
- Yaghini, M., Khandaghabadi, Z. (2011). “dynamic solution of the fleet size determination of freight cars using a hybrid meta-heuristic algorithm”, Journal of Transportation Research, Road housing & Urban Development center, Vol 8, Number 1, PP.75-89. https://www.sid.ir/paper/375788/fa.
- Cao, Ke. (2022). “A Machine Learning-Based Approach to Railway Logistics Transport Path Optimization”, Mathematical Problems in Engineering journal, Article ID 1691215, 11 pages. https://doi.org/10.1155/2022/1691215.
- Servos, N., Liu, X., Teucke, M. and Freitag, M. (2020). “Travel Time Prediction in a Multimodal Freight Transport Relation Using Machine Learning Algorithms”, Journal of Logistics, Vol4, Issue1. https://doi.org/10.3390/logistics4010001.
- R¨oßler, D., Reisch, J., Hauck, F., Kliewer, N. (2021). “Discerning Primary and Secondary Delays in Railway Networks using Explainable AI”, Transportation Research Procedia, Vol 52, PP.171–178. 23rd Euro Working Group on Transportation Meeting (EWGT 2020). https://doi.org/10.1016/j.trpro.2021.01.018.
- Intelligent Transportation Magazine, (2021). Technology & Development Headquarter, National Space and Advanced Transportation Administration, Issue 2. https://iitsa.ir. (In Persian).
- Movahedi, M, M., Todarbari, A, A, A. (2006) “Determining, defining and measuring productivity indicators in freight wagons in order to plan for their improvement, 8th Railway Transportation, Conference،Tehran،https://civilica.com/doc/9531.
- Masihi, E., Mafakheri, Z. (2015). “Modeling and Solving the Rail Fleet Sizing Problem with Multiple Objectives and Heterogeneous Fleet Using Metaheuristic Algorithms”, Journal of Transportation Engineering (JTE), Vol 6, Issue 4, serial number4, PP.685-702. Doi: 20.1001.1.20086598.1394.6.4.10.5.
- Mafakheri, Z., Sheikh Mohammadi, M., Hosseinzadeh,Kashan, A.(2017). “Employing multi-objective simulated annealing algorithm to solve the developed model for determining the size of freight cars in rail transportation industry”. Journal of Transportation Engineering (JTE), Vol 8, Issue 4, Serial Number 32, PP.501-515. Doi:10.22119/JTE.2022.154265.