Problems and Prospects of Artificial Intelligence Technologies Application in Transportation Engineering and Design
Abstract
The article considers the issues of application of artificial intelligence technologies for design tasks of transport infrastructure objects. The review of scientific literature, regulatory documentation, as well as information about commercial products in this field is carried out. It is concluded that the basis of modern and future approach to design is information modelling technologies (BIM), and artificial intelligence tools today complement them, solving individual problems. The analysis of factors hindering the introduction of artificial intelligence technologies into design processes has shown that the development and implementation of a tool capable of automatically generating a complex design solution is an extremely difficult task. The introduction of highly specialized tools based on artificial intelligence for existing processes can be justified if it allows to quickly obtain a significant effect. The greatest effect of introducing artificial intelligence technologies in design can only be achieved in synergy with the transition to information modelling.
About the Author
A. V. Belov
GBU «MosTransProject»
Russian Federation
Russian Federation
Belov Alexander Vladimirovich Candidate of Technical Sciences, Chief Researcher
101000, Moscow, Potapovsky Lane, 3, building 1
References
1. Analiticheskij otchyot po vnedreniyu reshenij v oblasti iskusstvennogo intellekta v otraslyah promyshlennosti [Analytical report on the implementation of artificial intelligence solutions in industries]. PDF-document. Available at: https://ict.moscow/static/71626349-1f91-53c1-855f-9d067640db60.pdf (accessed: 21.02.2025).
2. Effektivnye otechestvennye praktiki primeneniya tekhnologij iskusstvennogo intellekta v promyshlennosti [Effective domestic practices of applying artificial intelligence technologies in industry]. PDF-document. Available at: https://ict.moscow/static/pdf/files/AI-prom-2.pdf (accessed: 21.02.2025).
3. Okladnikova S.V., Polyakova K.V. Praktiki vnedreniya BIM-modelirovaniya v Rossii [Practices of implementing BIM modeling in Russia]. In: Innovacionnoe razvitie regionov: potencial nauki i sovremennogo obrazovaniya: Materialy VII Nacional’noj nauchno-prakticheskoj konferencii s mezhdunarodnym uchastiem, priurochennoj ko Dnyu rossijskoj nauki [Innovative development of regions: the potential of science and modern education: Proceedings of the VII National Scientific and Practical Conference with international participation, dedicated to the Day of Russian Science]. Astrakhan, February 9, 2024. Astrakhan: Astrakhan State University of Architecture and Civil Engineering, 2024, pp. 30-34.
4. Sistemy avtomatizirovannogo proektirovaniya na transporte: Materialy X Mezhdunarod noj nauchno-prakticheskoj konferencii studentov, aspirantov i molodyh uchenyh [Computer-aided design systems in transport: Proceedings of the X International Scientific and Practical Conference of students, postgraduates and young scientists]. St. Petersburg, April 27-28, 2023. St. Petersburg: Emperor Alexander I St. Petersburg State Transport University, 2023, 302 p. ISBN 978-5-7641-1922-9.
5. Metodicheskoe posobie dlya zakazchikov (gosudarstvennogo zakazchika, zastrojshchika, tekhnicheskogo zakazchika) «Planirovanie i realizaciya processov informacionnogo modelirovaniya» [Methodological guide for customers (state customer, developer, technical customer) «Planning and implementation of information modeling processes»]. PDF-document. Ministry of Construction and Housing and Communal Services of the Russian Federation, Federal Autonomous Institution «Federal Center for Standardization, Standardization and Conformity Assessment in Construction». Moscow, 2018. Available at: https://doc.aspks.ru/bim/lib/23. pdf (accessed: 24.02.2025).
6. Vlasova E.L., Vlasova M.L., Borovikova N.V., Karelin D.V. Iskusstvennyj intellekt v arhitekturno-gradostroitel’nom proektirovanii [Artificial intelligence in architectural and urban planning]. Architecture and Modern Information Technologies, 2023, no. 4(65), pp. 311-324. DOI: 10.24412/1998-4839-2023-4-311-324
7. Bojkov V.N., Skvorcov A.V. InfraBIM dlya avtomobil’nyh dorog [InfraBIM for highways]. SAPR i GIS avtomobil’nyh dorog [CAD and GIS for roads], 2019, no. 1(12), pp. 4-9. DOI: 10.17273/CADGIS.2019.1.1.
8. ODM 218.3.105-2018. Otraslevoj dorozhnyj metodicheskij dokument. Metodicheskie rekomendacii po organizacii vzaimodejstviya uchastnikov razrabotki proektnoj i rabochej dokumentacii na pilotnyh proektah stroitel’stva, kapital’nogo remonta i rekonstrukcii avtomobil’nyh dorog s primeneniem BIM-tekhnologii [Industry road methodological document. Methodological recommendations on organizing interaction of participants in the development of design and working documentation for pilot projects for the construction, major repair and reconstruction of roads using BIM technology]. Issued based on Rosavtodor Order No. 2084-r dated 05.06.2018 (canceled by Rosavtodor Order No. 1414 r dated 05.05.2022).
9. As, I., Basu, P., & Talwar, P. (Eds.). (2022). Artificial Intelligence in Urban Planning and Design: Technologies, Implementation, and Impacts. Elsevier. https://doi.org/10.1016/C2019-0-05206-5
10. Strategiya cifrovoj transformacii: napisat’, chtoby vypolnit’ [Digital transformation strategy: write to implement]. Ed. by E.G. Potapova, P.M. Poteev, M.S. Shklyaruk. Moscow: RANEPA, 2021, 184 p.
11. Belov A.V., Lugovenko V.V., Butenko Yu.V. O sovershenstvovanii gosudarstvennoj politiki v oblasti avtomobil’nogo transporta i gorod skoj mobil’nosti v usloviyah perekhoda k cifrovoj ekonomike i ekonomike dannyh [On improving state policy in the field of automotive transport and urban mobility in the transition to digital economy and data economy]. Transport Rossijskoj Federacii [Transport of the Russian Federation], 2025, no. 1(116), pp. 3-9.
12. Industry 5.0 // European Commission. URL: https://research-and-innovation.ec.europa.eu/research-area/industrial-research-and-innovation/industry-50_en (accessed: 27.02.2025).
13. Aleke, C. U., Usang, W. O., Obi-obuoha, A., Jolaosho, A. A., & Michael, O. O. (2024). Artificial Intelligence as a tool for enhancing Building Information Modeling (BIM). World Journal of AdvancedResearch and Reviews, 24(02), 1833–1846. https://doi.org/10.30574/wjarr.2024.24.2.3517
14. Khan, A. A., Bello, A. O., Arqam, M., & Ullah, F. (2024). Integrating Building Information Modelling and Artificial Intelligence in Construction Projects: A Review of Challenges and Mitigation Strategies. Technologies, 12, 185. https://doi.org/10.3390/technologies12100185
15. Text to CAD Text to DWG Conversion // yeschat.ai. URL: https://www.yeschat.ai/gpts-9t563W5LgH9-Text-to-CAD (accessed: 28.02.2025).
16. Yavartanoo, M. Text2CAD: Text to 3D CAD Generation via Technical Drawings // arXiv. URL: https://arxiv.org/abs/2411.06206 (accessed: 28.02.2025).
17. Design Faster with Text Prompts in our AI CAD Model Generator Zoo // Zoo. URL: https://zoo.dev/text-to-cad (accessed: 28.02.2025).
18. The Best Text to Cad Drawing AI Generator (for Free) OpenArt // OpenArt. URL: https://openart.ai/generator/cad-drawing (accessed: 28.02.2025).
19. Li, C., Zhang, T., Du, X., Zhang, Y., & Xie, H. (2024). Generative AI for Architectural Design: A Literature Review. arXiv, arXiv:2404.01335. Available online: https://arxiv.org/abs/2404.01335
20. Ghimire, P., Kim, K., & Acharya, M. (2024). Opportunities and Challenges of Generative AI in Construction Industry: Focusing on Adoption of Text-Based Models. Buildings, 14, 220.
21. He, W. (2020). Urban Experiment: Taking Off on the Wind of Al. Architectural Design, 90, 94-99. https://doi.org/10.1002/ad.2574
Review
For citations:
Belov A.V. Problems and Prospects of Artificial Intelligence Technologies Application in Transportation Engineering and Design. Moscow Transport. Science and Designn. 2025;(1):55-65. (In Russ.)
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