Reengineering of management processes for the restoration of transport and logistics infrastructure through image recognition and BIM-oriented remediation
Keywords:
BIM, Digital Twin, BIM-oriented remediation, restoration, transport safety, transport, logistics, infrastructure facility, interoperability, 4D/5D management, BPMN orchestrationSynopsis
In the context of eliminating the consequences of emergency events (military conflicts, natural disasters, man-made accidents, etc.), it is appropriate to focus attention on issues of reengineering of infrastructure facilities, since the tasks go beyond traditional engineering design and include redesign of the managerial contour of the transport and logistics system (S&D → BIM/DT → 4D/5D → BPMN), re-assembly of roles and responsibility, implementation of end-to-end traceability (CDE/DT), risk-oriented prioritization and audit-ready frameworks of quality, safety and ecology. The authors of the monograph expanded the theoretical framework of the semantic content of the concept “reengineering” in the context of BIM/Digital Twin-oriented reconfiguration of the architecture and processes of remediation/reconstruction/restoration of transport and logistics infrastructure facilities on the basis of observation and diagnostics data. The increase in the scale and diversity of risks of a different nature determines the need to move from static regulations to a data-driven approach, namely: expanding the range of application of computer vision, analysis of images and UAV imagery, satellites, as well as neural-network recognition, which can be organically integrated with the BIM model of the facility, thereby forming a “digital twin”. Such coupling will make it possible to provide a full cycle screening → diagnosis → prognosis → intervention, which will make it possible to automatically identify defects, verify their spatial-semantic localization in BIM, assess the degree of risk of collapse of the facility and/or failure, and on the basis of this – predict the operational life of structural elements. All this will make it possible to carry out more accurate planning of remediation/reconstruction/restoration works (4D/5D), choose the optimal scenario and protocol of necessary measures, effectively manage the course of implementation of the complex of works for restoration with subsequent successful commissioning of the facility into operation and audit. The authors of the monograph substantiated that BIM technologies play the role of a driver in BPR (business process reengineering) of the transport safety management system as a whole, since they are able to combine surveillance and management of restoration and repair works within operational requirements in a single information contour, while increasing the speed, accuracy, safety and minimization of risks of different nature and scale. The study proposes a metric support, which will make it possible to assess the effect of the implemented complex of works. Thus, the result of reengineering is proposed to be assessed using an integral indicator BOR-Index, which includes an assessment of safety, time, cost, quality, DT-fidelity, completeness of evidence, timeliness, and the readiness of data and processes to be assessed using the I-Score index by levels of interoperability (syntax/formats, semantics, process, operational, evidence/CDE). The monograph studied and proposed a transferable benchmark of construction and restoration of the Genoa bridge (Italy) as confirmation of the feasibility of the coupling S&D→BIM/DT→4D/5D in fast-track mode.
References
Abdelalim, A. M., Essawy, A., Sherif, A., Salem, M., Al-Adwani, M., Abdullah, M. S. (2025). Optimizing Facilities Management Through Artificial Intelligence and Digital Twin Technology in Mega-Facilities. Sustainability, 17 (5), 1826. https://doi.org/10.3390/su17051826
Saeed, Z. O., Almukhtar, A., Abanda, H., Tah, J. (2021). BIM Applications in Post-Conflict Contexts: The Reconstruction of Mosul City. Buildings, 11 (8), 351. https://doi.org/10.3390/buildings11080351
Adopting Digital Twin Solutions for Genoa Bridge Reconstruction Proves to be Economical and Efficient. Geospatial World Prime. Available at: https://geospatialworld.net/prime/case-study/aec/adopting-digital-twin-solutions-for-genoa-bridge-reconstruction-proves-to-be-economical-and-efficient/
Gordo-Gregorio, P., Alavi, H., Forcada, N. (2025). Decoding BIM Challenges in Facility Management Areas: A Stakeholders’ Perspective. Buildings, 15 (5), 811. https://doi.org/10.3390/buildings15050811
Cherniavskyi, B.; Cherniavska, T. (Ed.) (2025). Digitalization of crisis management remediation: assessment of implementation and development prospects. Economy in the era of digital transformation: trends, opportunities and perspectives. Tallinn: Scientific Route OÜ, 51–73. https://doi.org/10.21303/978-9908-9706-0-8.ch3
Wu, D., Zheng, A., Yu, W., Cao, H., Ling, Q., Liu, J., Zhou, D. (2025). Digital Twin Technology in Transportation Infrastructure: A Comprehensive Survey of Current Applications, Challenges, and Future Directions. Applied Sciences, 15 (4), 1911. https://doi.org/10.3390/app15041911
Cherniavskyi, B.; Cherniavska, T. (Ed.) (2025). Information technologies in scenario-based modeling of post-conflict territory remediation: from express sanitation to sustainable recovery. Ecological systems modeling. Tallinn: Scientific Route OÜ, 74–95. https://doi.org/10.21303/978-9908-9706-6-0.ch4
Cherniavskyi, B., Blakyta, H., Susidenko, V., Andreichenko, A., Remyha, Y., Podmazko, O.; Cherniavska, T. (Ed.) (2025). Innovative technologies and digital models in the post-war recovery of the transport and logistics system of Ukraine. Economy in the Era of Digital Transformation: Trends, Opportunities and Perspectives. Tallinn: Scientific Route OÜ, 110–143. https://doi.org/10.21303/978-9908-9706-0-8.ch5
Elazouni, A., Salem, O. A. (2011). Progress monitoring of construction projects using pattern recognition techniques. Construction Management and Economics, 29 (4), 355–370. https://doi.org/10.1080/01446193.2011.554846
Remedial Action Work Plan (2022). Hunter Army Airfield, G.
Shen, C., Chou, C.-C. (2010). Business process re-engineering in the logistics industry: a study of implementation, success factors, and performance. Enterprise Information Systems, 4 (1), 61–78. https://doi.org/10.1080/17517570903154567
Cherniavska, T., Cherniavskyi, B. (2025). Digital reconstructor: Integration of digital twins for the reconstruction and remediation of war-affected territories in Ukraine. UKLO Proceedings, 1 (1), 137–145. https://doi.org/10.20544/AISC.1.1.25.P13
Seidaliyeva, U., Ilipbayeva, L., Utebayeva, D., Smailov, N., Matson, E. T., Tashtay, Y. et al. (2025). LiDAR Technology for UAV Detection: From Fundamentals and Operational Principles to Advanced Detection and Classification Techniques. Sensors, 25 (9), 2757. https://doi.org/10.3390/s25092757
Hosamo, H. H., Rolfsen, C. N., Zeka, F., Sandbeck, S., Said, S., Sætre, M. A. (2024). Navigating the Adoption of 5D Building Information Modeling: Insights from Norway. Infrastructures, 9 (4), 75. https://doi.org/10.3390/infrastructures9040075
Tebourbi, H., Nouzri, S., Mualla, Y., El Fatimi, M., Najjar, A., Abbas-Turki, A., Dridi, M. (2025). BPMN-Based Design of Multi-Agent Systems: Personalized Language Learning Workflow Automation with RAG-Enhanced Knowledge Access. Information, 16 (9), 809. https://doi.org/10.3390/info16090809
Cherniavska, T., Cherniavskyi, B. (2024). Architecture-oriented agent-based model (AOAM) for optimizing transport evacuation management and emergency medical assistance in the context of the war in Ukraine: challenges and prospects. CEUR Workshop Proceedings. Available at: https://ceur-ws.org/Vol-3892/paper21.pdf
Harclerode, M., Ridsdale, D. R., Darmendrail, D., Bardos, P., Alexandrescu, F., Nathanail, P. et al. (2015). Integrating the Social Dimension in Remediation Decision‐Making: State of the Practice and Way Forward. Remediation Journal, 26 (1), 11–42. https://doi.org/10.1002/rem.21447
Berg, C. (2024). Interoperability. Internet Policy Review, 13 (2). https://doi.org/10.14763/2024.2.1749
Gomes Correia, A., Winter, M. G., Puppala, A. J. (2016). A review of sustainable approaches in transport infrastructure geotechnics. Transportation Geotechnics, 7, 21–28. https://doi.org/10.1016/j.trgeo.2016.03.003
The new Genova San Giorgio Viaduct. Elegance, Innovation, Resilience. Implemented Solutions (2022). Gruppo FS Italiane. Available at: https://www.italferr.it/en/technology-and-innovation/BIM/design/genoa-san-giorgio-viaduct.html
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Text Identifier of this Chapter
Chapter 3
Published
June 11, 2026
Copyright (c) 2026 Tetiana Cherniavska, Bohdan Cherniavskyi, Оksana Zghurska, Serhii Kasian, Kateryna Nakonechna, Yaroslava Mudra
How to Cite
Cherniavska, T., Cherniavskyi, B., Zghurska О., Kasian, S., Nakonechna, K., & Mudra, Y. (2026). Reengineering of management processes for the restoration of transport and logistics infrastructure through image recognition and BIM-oriented remediation. In V. Lukin, S. Kryvenko, F. Li, S. Abramov, V. Abramova, B. Kovalenko, I. Dohtiev, O. Arkhipov, N. Stojanović, B. Bondžulić, P. Mykhalichenko, T. Cherniavska, B. Cherniavskyi, V. Nadtochii, A. Nadtochyi, M. Korkh, Zghurska О., S. Kasian, K. Nakonechna, … I. Kalinichenko, Pattern recognition in surveillance systems and diagnostics (pp. 73-101). Scientific Route OÜ®. https://doi.org/10.21303/978-9908-845-05-0.ch3
