APPLIED METHODOLOGICAL ESSENCE OF PROJECT MANAGEMENT IN TRANSPORT THROUGH ARTIFICIAL INTELLIGENCE
DOI:
https://doi.org/10.17770/etr2024vol2.8047Keywords:
Artificial intelligence, methodology, project management, transport projectsAbstract
Modern transport projects are complex, multi-stage and long-term, associated with significant calculations, changing schedules, matching resources, analyzing different scenarios for their impact on the development of transport systems and infrastructure. These projects are implemented in a dynamic external environment with a great influence of rapidly changing political, social and natural factors. This objectively requires the application of flexibility in the planning and determination of the various options for development and the search for new approaches to managing transport projects and ensuring the necessary dynamics. Through the application of artificial intelligence, the flexibility in planning and implementation of these transport projects can be improved.
This article examines the possibility of using artificial intelligence in transport project management. More specifically, the methodological essence is emphasized from the point of view of using artificial intelligence in the design and implementation of these projects.
Downloads
References
D. Dimitrov, P. Zlateva, "Information Model for the Registration of Disasters Affecting the Road Infrastructure," World Science, RS Global, vol. 1, no. № 1(29, January 2018.
D. Dimitrov, Z. Trendafilov, "About the Need for Performing Training and Increasing the Qualification of Dispatchers and Movement Managers in Railway Transport," World Science, RS Global, International Journal of Innovative Technologies in Economy, vol. 2, no. 5(17), June 2018.
Dimitrov, D.; Zlateva, P.; Velev, D., "A Methodology for Designing an Information System for Road Infrastructure Monitoring and Traffic Management in Disasters," IOP Conference Series: Earth and Environmental Science, vol. 167, p. 012044, June 2018.
A. M. Sadou, E. T. Njoya, "Applications of Artificial Intelligence in the Air Transport Industry: A Bibliometric and Systematic Literature Review," Jornal of Aerospace Technology and Management, no. DOI:10.1590/jatm.v15.1312, 2023.
D. Dimitrov, I. Manchev, „Research and analysis of models for digital management of transport systems,“ Mechanics Transport Communications, том 21, № 3, 2023.
G. Strobel, L. Banh, F. Möller and T. Schoormanm, "Exploring Generative Artificial Intelligence: A Taxonomy and Types," Hawaii International Conference on System Sciences (HICSS) At Honolulu, Hawaii, 2024, pp. At Honolulu, Hawaii, 2024.
К. Ткацхенко, О. Ткацхенко, "Modeling of management of intelligent systems in transport," Збірник наукових праць ДУІТ. Серія «Транспортні системи і технології», vol. Вип. 39, no. DOI:10.32703/2617-9040-2022-39-24, 2022.
Thormunadsson, B., "Global artificial intelligence market size 2021-2030," 2023. [Online]. Available: https://www.statista.com/statistics/1365145/artificial-intelligence-market-size/. [Accessed 26 February 2024].
Ficzere, P., "The role of artificial intelligence in the develo[ment of rail transport," no. DOI:10.55343/cogsust.81, 2023.
Kuolo, M., "Artificial Intelligence and project management," no. https://www.academia.edu/49328172/Artificial_Intelligence_and_project_managemen.
Elrajobi, S., Artificial Intelligence in Project Management, LIGG UNIVERSITY USА, 2019.
I. Merdzanovic, M. Vukomanovic, D. Ivandicvidovic, "A Comprehensive Literature Review Of Research Trends Of Applying Ai To Construction Project Management," in 6th Ipma Senet Project Management Conference: Digital Transformation And Sustainable Developmen in Project Management, Dubrovnik, 2022.
O. Balli, I. Guven, "Artificial Intelligence in AEC Industry: Construction Project Management Processes," in 1 st International Conference on Innovative Academic Studise: Turkey, 2022.
Miller, G., "Digital assets for project –based studies and data-driven project management," in 15th Conference on Computer Science and Information Systems (FedCSIS), Sofia, Bulgaria, 2020, pp. 591-594, doi: 10.15439/2020F94, 2020.
D. Dimitrov, I. Petrova I., P. Zlateva, D. Velev, "Artificial Intelligence Application in Agile Transport Project Management," in Digitalization and Management Innovation II,DOI:10.3233/FAIA230717, Seoul, South Korea, 2023.
Binova, H., "Methodology of transportation project management," Journal of Systems Integration, vol. 3, no. https://www.researchgate.net/publication/309742397, 2013.
D. Dimitrov, K. Lalov, „Review and analysis of intelligent rail transport management systems,“ Mechanics Transport Communications, том 21, № 3, 2023.
T. N. Academies, Guidance for Transportation Project Management, Washingto : DOI: https://doi.org/10.17226/23028, 2029.
P. Korke, R. Gobinath, M. Shewale, B. Khartode,, "Role of Artificial Intelligence in Construction Project Management," in E3S Web of Conferences 405, 04012 (2023), https://doi.org/10.1051/e3sconf /202340504012, 2023.
Ç. Elmas, J. Babayev, "Artificial Intelligence Techniques Used in Project Management," Advances in Artificial Intelligence Research (AAIR), vol. 1 (No.1, no. http://www.dergipark.com/aair/, pp. 1-5, 2021.
C. Mariani, M. Mancini:, "Artificial Intelligence Adoption In Project Management: Are We Still Far From Practical Implementation?," in Digital Transformation And Sustainable Development In Project Management, Dubrovnik, 2022.
"What is ICB?," [Online]. Available: https://t2informatik.de/en/smartpedia/icb/. [Accessed 26 February 2024].
D. Dobrev, D. Dimitrov, "Metro Traffic Management Scheme Based on Wagons Travelling in Autonomous Mode," Transport for Today’s Society, 2nd International Conference, University “St. Kliment Ohridski”, Faculty of Technical Sciences, pp. 439-445, 17-19 May 2018.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Irena Petrova
This work is licensed under a Creative Commons Attribution 4.0 International License.
