Trends in the Development of the Transport Industry Through the Prism of Artificial Intelligence
DOI:
https://doi.org/https://doi.org/10.37075/RP.2025.3.10Keywords:
Transport, Future, Artificial intellect, Authomation, DigitalizationAbstract
This study is dedicated to analyzing the short-term evolutionary and long-term revolutionary transformations within the economic sector, with a specific focus on the transport industry, through the prism of artificial intelligence. The escalating demands of an increasingly globalized world underscore the urgent need for comprehensive reforms across the industry. These reforms must be supported by innovative solutions capable of producing a broad-scale impact and delivering measurable results within a short time frame. The central thesis of this report emphasizes the transformative potential of artificial intelligence as a key enabler of change. Unlike conventional approaches that often yield gradual improvements, AI possesses the capacity to accelerate progress and generate tangible benefits in the short term.References
Amazon (2024). Amazon drones can now fly farther and deliver to more customers following FAA approval. URL: https://www.aboutamazon.com/news/transportation/amazon-drone-prime-air-expanded-delivery-faa-approval
Avetisyan, B. R. and Druzhinina, N. S. and Daudov, I. M (2020). Neural networks and artificial intelligence as trends for the development of the future. Journal of Physics: Conference Series. DOI: https://doi.org/10.1088/1742-6596/1582/1/012005
Badi, I. and Bouraima, M. B. and Muhammad, L. J (2023). The role of intelligent transportation systems in solving traffic problems and reducing environmental negative impact of urban transport. Decision Making and Analysis. DOI: https://doi.org/10.55976/dma.1202311371-9
European Commission (2017). White Paper on the Future of Europe. (, (COM/2017/2025)(2023). URL: https://eur-lex.europa.eu/legal-content/BG/TXT/?uri=COM:2017:2025:
European Commission (2020). Strategy for sustainable and smart mobility - Preparing Europe's transport for the future Europa. eu/doc/document/ST-, 14012-2020. URL: https://transport.ec.europa.eu/transport-themes/mobility-strategy_en
Eurostat (2024). 8% of EU enterprises used AI technologies in 2023. URL: https://ec.europa.eu/eurostat/web/products-eurostat-news/w/ddn-20240529-2
McKinsey (2023). The state of AI in 2023: Generative AI's breakout year. URL: https://www.mckinsey.com/capabilities/quantumblack/our-insights/
Statistics and Austria (2024). ICT usage in enterprises. URL: https://www.statistik.at/en/statistics/research-innovation-digitalisation/digital-economy-and-society/ict-usage-in-enterprises
Tovmasyan, E (2023). ClearD3 Implements Data- and AI-driven Pricing Strategy, Delivering Significant Gains for Van den Bosch. com/news/home/. URL: www.businesswire.com
Goldman Sachs (2023). Generative AI could raise global GDP by 7%. URL: www.goldmansachs.com
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Stela Tuparova (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright to their works.
All publications are distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) license.