{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T13:49:52Z","timestamp":1770817792718,"version":"3.50.1"},"reference-count":21,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T00:00:00Z","timestamp":1770249600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>The paper introduces a novel intelligent modeling system of a railway cargo delivery which combines queuing theory and station-level technological activities to model the manner in which re-handling and waiting processes produce delivery delays. The proposed model is in contrast to the available literature, which focuses more on routing or time management; it clearly connects processing of the stations, queue behavior, and reliability of the delivery in one decision system. When applied to a real-life railway route, the optimization of technological sequences is demonstrated to decrease delivery time and congestion rates significantly, as well as decrease the possibility of punishment in case of late deliveries. These findings show that the study is original in terms of the presentation of a data-driven and operationally based approach on the enhancement of railway freight performance. This study introduces a shipment-type-specific intelligent delivery model that integrates queuing theory with real station technological processes. Unlike existing approaches focused mainly on routing or average travel time, the proposed framework explicitly accounts for wagon processing sequences, re-handling operations, and delay-risk assessment. Validation on the Khamza\u2013Bukhara corridor demonstrates a reduction in intermediate re-handlings from four to two and total delivery time from 68 h to 54 h, confirming the operational and economic effectiveness of the model.<\/jats:p>","DOI":"10.3390\/systems14020184","type":"journal-article","created":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T16:30:47Z","timestamp":1770309047000},"page":"184","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Modeling of Delivery Infrastructure for Solving Problems by Type of Goods"],"prefix":"10.3390","volume":"14","author":[{"given":"Jamshid","family":"Barotov","sequence":"first","affiliation":[{"name":"Department of Transport and Cargo Systems, Faculty of Transportation System Management, Tashkent State Transport University, Tashkent 100167, Uzbekistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1825-2447","authenticated-orcid":false,"given":"Ziyoda","family":"Mukhamedova","sequence":"additional","affiliation":[{"name":"Department of Transport and Cargo Systems, Faculty of Transportation System Management, Tashkent State Transport University, Tashkent 100167, Uzbekistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jamshid","family":"Kobulov","sequence":"additional","affiliation":[{"name":"Department of Transport and Cargo Systems, Faculty of Transportation System Management, Tashkent State Transport University, Tashkent 100167, Uzbekistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rashida","family":"Tursunkhodjaeva","sequence":"additional","affiliation":[{"name":"Department of Transport and Cargo Systems, Faculty of Transportation System Management, Tashkent State Transport University, Tashkent 100167, Uzbekistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuxrat","family":"Saidivaliyev","sequence":"additional","affiliation":[{"name":"Department of Transport and Cargo Systems, Faculty of Transportation System Management, Tashkent State Transport University, Tashkent 100167, Uzbekistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rustam","family":"Abdullayev","sequence":"additional","affiliation":[{"name":"Department of Transport and Cargo Systems, Faculty of Transportation System Management, Tashkent State Transport University, Tashkent 100167, Uzbekistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Diyor","family":"Boboyev","sequence":"additional","affiliation":[{"name":"Department of Transport and Cargo Systems, Faculty of Transportation System Management, Tashkent State Transport University, Tashkent 100167, Uzbekistan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2026,2,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Naumov, V., and Starczewski, J. (2019). Approach to simulations of goods deliveries with the use of cargo bicycles. AIP Conference Proceedings, AIP Publishing LLC.","DOI":"10.1063\/1.5092073"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"499","DOI":"10.1007\/s10898-019-00785-y","article-title":"A model for optimization of transport infrastructure for some homogeneous goods markets","volume":"76","author":"Vasin","year":"2020","journal-title":"J. Glob. Optim."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1007\/s11067-008-9065-8","article-title":"Optimization\u2013simulation model for planning supply transport to large infrastructure public works located in congested urban areas","volume":"10","author":"Moura","year":"2010","journal-title":"Netw. Spat. Econ."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Makhova, L., Haykin, M., Glazkova, I., and Domnina, O. (2023). Development of mathematical models for trucks and cargo. Infrastructures, 8.","DOI":"10.3390\/infrastructures8020017"},{"key":"ref_5","first-page":"1","article-title":"Evaluation of the efficiency of the delivery process in the technical object of transport infrastructure with the application of a simulation model","volume":"25","author":"Zabielska","year":"2023","journal-title":"Eksploat. Niezawodn."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Yanchuk, V.M., Tkachuk, A.G., Antoniuk, D.S., Vakaliuk, T.A., and Humeniuk, A.A. (2020). Mathematical simulation of package delivery optimization using a combination of carriers. arXiv.","DOI":"10.5121\/csit.2020.101205"},{"key":"ref_7","first-page":"100445","article-title":"The impact of railway incidents on train delays: A case of the Swedish Railway Network","volume":"30","author":"Mukunzi","year":"2024","journal-title":"J. Rail Transp. Plan. Manag."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Kavi\u010dka, A., Divi\u0161, R., and Vesel\u00fd, P. (2020, January 16\u201318). Railway station capacity assessment utilizing simulation-based techniques and the UIC406 method. Proceedings of the 32nd European Modeling & Simulation Symposium (EMSS 2020), Online.","DOI":"10.46354\/i3m.2020.emss.007"},{"key":"ref_9","unstructured":"Shramenko, N., and Shramenko, V. (2020, January 7\u20138). Simulation Model of the Process of Delivering Small Consignments in International Traffic Through the Terminal System. Proceedings of the ICST, Yogyakarta, Indonesia."},{"key":"ref_10","first-page":"100496","article-title":"Efficient real-time rail traffic optimization: Decomposition of rerouting, reordering, and rescheduling problems","volume":"33","author":"Lindenmaier","year":"2025","journal-title":"J. Rail Transp. Plan. Manag."},{"key":"ref_11","first-page":"57","article-title":"Construction of a simulation model of goods delivery in international road transportation taking into account the functioning efficiency of logistics supply chain","volume":"3","author":"Lebid","year":"2023","journal-title":"East.-Eur. J. Enterp. Technol."},{"key":"ref_12","unstructured":"Ab Rahman, F. (2015, January 12\u201313). Transportation Model in Delivery Goods Using Railway Systems. Proceedings of the Global Conference on Economics and Management Science 2015 (GEMS 2015), Penang, Malaysia."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"\u0160perka, A., \u010camaj, J., Ded\u00edk, M., and Bulkov\u00e1, Z. (2023). Evaluation Methodology of the Railway Stations Using Multi-Criteria Decision-Making Methods. Infrastructures, 8.","DOI":"10.3390\/infrastructures8120177"},{"key":"ref_14","first-page":"100558","article-title":"Reliability evaluation of rail freight transport processes\u2014An agent-based approach combining microscopic rail simulation and freight network logistics","volume":"37","author":"Geischberger","year":"2025","journal-title":"J. Rail Transp. Plan. Manag."},{"key":"ref_15","first-page":"100498","article-title":"A study on sorting strategies in marshaling yards with a limited number of tracks and track capacity","volume":"33","author":"Zien","year":"2025","journal-title":"J. Rail Transp. Plan. Manag."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"e12610","DOI":"10.1049\/itr2.12610","article-title":"Formulation and solution framework for real-time railway traffic optimization","volume":"19","author":"Pascariu","year":"2025","journal-title":"IET Intell. Transp. Syst."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"516","DOI":"10.1016\/j.simpat.2010.08.009","article-title":"A mesoscopic simulation modelling methodology for analyzing and evaluating freight train operations in a rail network","volume":"19","author":"Marinov","year":"2011","journal-title":"Simul. Model. Pract. Theory"},{"key":"ref_18","unstructured":"Hall, R.W. (1991). Queueing Methods: For Services and Manufacturing, Prentice Hall."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Bykadorov, S., Arpabekov, M., Khudayberganov, S., Suyunbayev, S., Khusenov, U., and Makhmudovna, M. (2023). About the model of railway transport management in Russia. E3S Web of Conferences, EDP Sciences.","DOI":"10.1051\/e3sconf\/202338905024"},{"key":"ref_20","first-page":"100390","article-title":"Optimal resource rescheduling in classification yards considering flexible skill patterns","volume":"26","author":"Preis","year":"2023","journal-title":"J. Rail Transp. Plan. Manag."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"619","DOI":"10.1007\/s42452-025-07188-7","article-title":"Mathematical modeling of fastening conditions in piggyback transport: Ensuring safety and stability across different transport modes","volume":"7","author":"Mukhamedova","year":"2025","journal-title":"Discov. Appl. Sci."}],"container-title":["Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2079-8954\/14\/2\/184\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T05:22:31Z","timestamp":1770787351000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2079-8954\/14\/2\/184"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2,5]]},"references-count":21,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2026,2]]}},"alternative-id":["systems14020184"],"URL":"https:\/\/doi.org\/10.3390\/systems14020184","relation":{},"ISSN":["2079-8954"],"issn-type":[{"value":"2079-8954","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2,5]]}}}