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Artificial Intelligence-driven Intelligent Transportation Systems applications as innovations in road freight transport enterprises Cover

Artificial Intelligence-driven Intelligent Transportation Systems applications as innovations in road freight transport enterprises

Open Access
|Oct 2026

References

  1. Abduljabbar, R., Dia, H., Liyanage, S., & Bagloee, S. A. (2019). Applications of artificial intelligence in transport: An overview. Sustainability, 11(1), 189. doi: 10.3390/su11010189
  2. Agarwal, P. K., Gurjar, J., Agarwal, A. K., & Birla, R. (2015). Application of artificial intelligence for development of intelligent transport system in smart cities. Journal of Traffic and Transportation Engineering, 1(1), 20-30. doi: 10.1007/978-981-16-3067-5_16
  3. Agrawal, A., Gans, J., & Goldfarb, A. (2019). The economics of artificial intelligence: An agenda. Chicago, United States: University of Chicago Press.
  4. Ahangar, M. N., Ahmed, Q. Z., Khan, F. A., & Hafeez, M. (2021). A survey of autonomous vehicles: Enabling communication technologies and challenges. Sensors, 21(3), 706. doi: 10.3390/s21030706
  5. Ait Ouallane, A., Bakali, A., Bahnasse, A., Broumi, S., & Talea, M. (2022). Fusion of engineering insights and emerging trends: Intelligent urban traffic management system. Information Fusion, 88, 218-248. doi: 10.1016/j.inffus.2022.07.020
  6. Akhtar, M., & Moridpour, S. (2021). A review of traffic congestion prediction using artificial intelligence. Journal of Advanced Transportation, 2021, 8878011. doi: 10.1155/2021/8878011
  7. Alam, M., Joaquim, F., & Fonseca, J. (2016). Intelligent transportation systems. Cham, Switzerland: Springer.
  8. Bazzan, A. L., & Klügl, F. (2022). Introduction to intelligent systems in traffic and transportation. Cham, Switzerland: Springer Nature.
  9. Bektas, T. (2019). Freight transport and distribution. London, United Kingdom: Taylor & Francis.
  10. Bharadiya, J. (2023). Artificial intelligence in transportation systems: A critical review. American Journal of Computing and Engineering, 6(1), 34-45. doi: 10.47672/ajce.1487
  11. Boukerche, A., Tao, Y., & Sun, P. (2020). Artificial intelligence-based vehicular traffic flow prediction methods for supporting intelligent transportation systems. Computer Networks, 182, 107484. doi: 10.1016/j.comnet.2020.107484
  12. Burnewicz, J., & Koźlak, A. (2025). Transport w ujęciu holistycznym [Transport in a Holistic Approach]. Gdańsk, Poland: Wydawnictwo Uniwersytetu Gdańskiego.
  13. Butler, I., & Kotzab, H. (2020). Scenario-based development of intelligent transportation systems for road freight transport in Germany. In R. Elbert, C. Friedrich, M. Boltze, & H.-C. Pfohl (Eds.), Urban freight transportation systems (pp. 183-202). Amsterdam, Netherlands: Elsevier.
  14. Butler, L., Yigitcanlar, T., & Paz, A. (2020). Smart urban mobility innovations: A comprehensive review and evaluation. IEEE Access, 8, 196034-196049. doi: 10.1109/ACCESS.2020.3034596
  15. Campbell, A., & Van Woensel, T. (2019). Special issue on recent advances in urban transport and logistics through optimization and analytics. Transportation Science, 53(1), 1-5. doi: 10.1287/trsc.2018.0882
  16. Central Statistical Office. (2024). Transport drogowy w Polsce w latach 2022 i 2023 [Road Transport in Poland in 2022 and 2023]. Warszawa, Poland: Główny Urząd Statystyczny.
  17. Centre for Transport and Infrastructure Analysis. (2012). Innowacyjność w transporcie do 2020 roku - podstawowe pojęcia i tezy [Innovation in Transport up to 2020 - Basic Concepts and Theses]. Warszawa, Poland: Centrum Analiz Transportowych i Infrastrukturalnych.
  18. Chavhan, S., Gupta, D., Gochhayat, S., N, C., Khanna, A., Shankar, K., & Rodrigues, J. (2022). Edge computing AI-IoT integrated energy-efficient intelligent transportation system for smart cities. ACM Transactions on Internet Technology, 22, 1-18. doi: 10.1145/3507906
  19. Chow, H., Siu, W., Chan, C., & Chan, H. (2013). An argumentation-oriented multi-agent system for automating the freight planning process. Expert Systems with Applications, 40, 3858-3871. doi: 10.1016/j.eswa.2012.12.042
  20. Chowdhury, M., Dey, K., & Apon, A. (Eds.). (2024). Data analytics for intelligent transportation systems. London, United Kingdom: Elsevier.
  21. Czakon, W. (2020). Podstawy metodologii badań w naukach o zarządzaniu [Fundamentals of Research Methodology in Management Sciences]. Warszawa, Poland: Wydawnictwo Nieoczywiste.
  22. Dia, H. (Ed.). (2023). Handbook on artificial intelligence and transport. Cheltenham, United Kingdom: Edward Elgar Publishing.
  23. Directive 2010/40/EU of the European Parliament and of the Council on the framework for the deployment of intelligent transport systems in the field of road transport and for interfaces with other modes of transport 2010 (EU).
  24. Dong, C., Akram, A., Andersson, D., Arnäs, P.-O., & Stefansson, G. (2021). The impact of emerging and disruptive technologies on freight transportation in the digital era: Current state and future trends. The International Journal of Logistics Management, 32(2), 386-412. doi: 10.1108/IJLM-01-2020-0043
  25. Du, J. W., Ren, G., Liu, W., Yang, G., Li, H., & Li, D. (2021). Reliability of variable message signs information: A field experiment study in Chongqing. Transportation Research Part F: Traffic Psychology and Behaviour, 83, 382-400. doi: 10.1016/j.trf.2021.11.002
  26. European Commission. (2018a). Coordinated plan on artificial intelligence. 2021 review. Brussels, Belgium: European Commission.
  27. European Commission. (2018b). EC JRC flagship report on AI: Artificial intelligence. A European perspective, 2018. Brussels, Belgium: European Commission.
  28. European Telecommunications Standard Institute. (2024). Intelligent transport systems leaflet. Retrieved from http://www.etsi.org/images/files/ETSITechnologyLeaflets/IntelligentTransportSystems.pdf
  29. Fertsch, M., & Toboła, A. (2021). Intelligent transport solutions of Logistics 4.0 in the context of changes in driving style: A systematic literature review. European Research Studies Journal, 24, 850-859. doi: 10.35808/ersj/2294
  30. Field, A. (2024). Discovering statistics using IBM SPSS statistics. London, United Kingdom: SAGE Publications.
  31. Gangwani, D., & Gangwani, P. (2021). Applications of machine learning and artificial intelligence in intelligent transportation system: A review. In A. Choudhary, A. P. Agrawal, R. Logeswaran, & B. Unhelkar (Eds.), Applications of artificial intelligence and machine learning (Vol. 778, pp. 203-216). Singapore, Singapore: Springer. doi: 10.1007/978-981-16-3067-5_16
  32. Gao, H., Yun, Q., Ran, R., & Ma, J. (2021). Smartphonebased parking guidance algorithm and implementation. Journal of Intelligent Transportation Systems, 25(4), 412-422. doi: 10.1080/15472450.2020.1871339
  33. Garg, T., & Kaur, G. (2022). A systematic review on intelligent transport systems. Journal of Computational Cognitive Engineering, 2(3), 175-188. doi: 10.47852/bonviewjcce2202245
  34. Gong, T., Zhu, L., Yu, F. R., & Tang, T. (2023). Edge intelligence in intelligent transportation systems: A survey. IEEE Transactions on Intelligent Trans portation Systems, 24(9), 8919-8944. doi: 10.1109/TITS.2023.3275741
  35. Gružauskas, V., & Pačėsaitė, K. (2021). Expert system for the freight coordination based on artificial intelligence. Vadyba: Journal of Management, 37(2), 19-24. doi: 10.38104/vadyba.2021.2.02
  36. Guerrero-Ibáñez, J., Zeadally, S., & Contreras-Castillo, J. (2018). Sensor technologies for intelligent transportation systems. Sensors, 18(4), 1212. doi: 10.3390/s18041212
  37. Haghighat, A. K., Ravichandra-Mouli, V., Chakraborty, P., & Sharma, A. (2020). Applications of deep learning in intelligent transportation systems. Journal of Big Data Analytics in Transportation, 2(2), 115-145. doi: 10.1007/s42421-020-00020-1
  38. Helfat, C. E., & Peteraf, M. A. (2003). The dynamic resource-based view: Capability lifecycles. Strategic Management Journal, 24(10), 997-1010. doi: 10.002/smj.332
  39. Hendriksen, C. (2023). Artificial intelligence for supply chain management: Disruptive innovation or innovative disruption. Journal of Supply Chain Management, 59(3), 65-76. doi: 10.1111/jscm.12304
  40. Institute for Transport Studies, University of Leeds. (2023). Variable message signs (VMS). Retrieved from https://www.its.leeds.ac.uk/projects/konsult/private/level2/instruments/instrument037/l2_037summ.htm
  41. Izourane, F. Z., Ardchir, S., Ounacer, S., & Azzouazi, M. (2024). Smart campus based on AI and IoT in the era of Industry 5.0: Challenges and opportunities. In A. Chakir, R. Bansal, & M. Azzouazi (Eds.), Industry 5.0 and emerging technologies (Vol. 565, pp. 39-57). Cham, Switzerland: Springer. doi: 10.1007/978-3-031-70996-8_3
  42. Ivanov, D., Tang, C. S., Dolgui, A., Battini, D., & Das, A. (2021). Researchers’ perspectives on Industry 4.0: Multi-disciplinary analysis and opportunities for operations management. International Journal of Production Research, 59(7), 2055-2078. doi: 10.1080/00207543.2020.1798035
  43. Iyer, L. S. (2021). AI enabled applications towards intelligent transportation. Transportation Engineering, 5, 100083. doi: 10.1016/j.treng.2021.100083
  44. Jóźwiak, J., & Podgórski, J. (2022). Statystyka od podstaw [Statistics from the Basics]. Warszawa, Poland: Polskie Wydawnictwo Ekonomiczne.
  45. Katreddi, S., Kasani, S., & Thiruvengadam, A. (2022). A review of applications of artificial intelligence in heavy duty trucks. Energies, 15(20), 7457. doi: 10.3390/en15207457
  46. Kordel, Z. (2019). Polski transport samochodowy ładunków [Polish Road Freight Transport]. Warszawa, Poland: CeDeWu.
  47. Kos, B. (2019). Intelligent transport systems (ITS) in smart city. In M. Suchanek (Ed.), Challenges of urban mobility, transport companies and systems (pp. 115-126). Cham, Switzerland: Springer.
  48. Krakowski, S., Luger, J., & Raisch, S. (2023). Artificial intelligence and the changing sources of competitive advantage. Strategic Management Journal, 44(6), 1425-1452. doi: 10.002/smj.3387
  49. Li, Y., & Yu, Y. (2017). The use of freight apps in road freight transport for CO₂ reduction. European Transport Research Review, 9. doi: 10.1007/s12544-017-0251-y
  50. Lindow, F., Kaiser, C., Kashevnik, A., & Stocker, A. (2020). AI-based driving data analysis for behavior recognition in vehicle cabin. In Proceedings of the 2020 27th Conference of Open Innovations Association (FRUCT) (pp. 116-125). IEEE. doi: 10.23919/FRUCT49677.2020.9211020
  51. Liu, Q. (2024). Logistics distribution route optimization in artificial intelligence and Internet of Things environment. Decision Making: Applications in Management and Engineering, 7(2), 221-239. doi: 10.31181/dmame7220241072
  52. Luo, H., Liu, J., Fang, W., Love, P. E., Yu, Q., & Lu, Z. (2020). Real-time smart video surveillance to manage safety: A case study of a transport mega-project. Advanced Engineering Informatics, 45, 101100. doi: 10.1016/j.aei.2020.101100
  53. Lv, Z., Lou, R., & Singh, A. K. (2020a). AI empowered communication systems for intelligent transportation systems. IEEE Transactions on Intelligent Transportation Systems, 22(7), 4579-4587. doi: 10.1109/TITS.2020.3017183
  54. Lv, Z., Zhang, S., & Xiu, W. (2020b). Solving the security problem of intelligent transportation system with deep learning. IEEE Transactions on Intelligent Transportation Systems, 22(7), 4281-4290. doi: 10.1109/TITS.2020.2980864
  55. Machin, M., Sanguesa, J. A., Garrido, P., & Martinez, F. J. (2018, April). On the use of artificial intelligence techniques in intelligent transportation systems. In 2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) (pp. 332-337). IEEE. doi: 10.1109/WCNCW.2018.8369029
  56. Mężyk, A., & Zamkowska, S. (2019). Problemy transportowe miast [Urban Transport Problems]. Warszawa, Poland: Polskie Wydawnictwo Naukowe.
  57. Mintsis, E., Vlahogianni, E. I., & Mitsakis, E. (2020). Dynamic eco-driving near signalized intersections: Systematic review and future research directions. Journal of Transportation Engineering, Part A: Systems, 146(4), 04020018. doi: 10.1061/JTEPBS.0000318
  58. Mitropoulos, L., Kortsari, A., & Ayfantopoulou, G. (2021). Systematic literature review of ride-sharing platforms, user factors and barriers. European Transport Research Review, 13. doi: 10.1186/s12544-021-00522-1
  59. Mohsen, B. (2023). Impact of artificial intelligence on supply chain management performance. Journal of Service Science and Management, 16(1), 44-58. doi: 10.4236/jssm.2023.161004
  60. Nansubuga, B., & Kowalkowski, C. (2021). Carsharing: A systematic literature review and research agenda. Journal of Service Management, 32(6), 55-91. doi: 10.1108/JOSM-10-2020-0344
  61. Neverauskiene, L. O., Novikova, M., & Kazlauskiene, E. (2021). Factors determining the development of intelligent transport systems. Business, Management and Economics Engineering, 19(2), 229-243. doi: 10.3846/bmee.2021.15368
  62. Nikitas, A., Michalakopoulou, K., Tchouamou Njoya, E., & Karampatzakis, D. (2020). Artificial intelligence, transport and the smart city: Definitions and dimensions of a new mobility era. Sustainability, 12, 2789. doi: 10.3390/su12072789
  63. Nogalski, B., & Niewiadomski, P. (2018). Innowacje technologiczne aktywizujące elastyczność implementacyjną w opinii polskich wytwórców - postulowany kierunek zmian [Technological Innovations Stimulating Implementation Flexibility According to Polish Manufacturers - Proposed Direction of Change]. Management Forum, 6(1), 13-22. doi: 10.15611/mf.2018.1.03
  64. Olayode, O. I., Tartibu, L. K., & Okwu, M. O. (2020). Application of artificial intelligence in traffic control system of non-autonomous vehicles at signalized road intersection. Procedia CIRP, 91, 194-200. doi: 10.1016/j.procir.2020.02.167
  65. Perano, M., Cammarano, A., Varriale, V., Del Regno, C., Michelino, F., & Caputo, M. (2023). Embracing supply chain digitalization and unphysicalization to enhance supply chain performance: A conceptual framework. International Journal of Physical Distribution & Logistics Management, 53(2), 123-145. doi: 10.1108/IJPDLM-06-2022-0201
  66. Popescu, O., Sha-Mohammad, S., Abdel-Wahab, H., Popescu, D. C., & El-Tawab, S. (2017). Automatic incident detection in intelligent transportation systems using aggregation of traffic parameters collected through V2I communications. IEEE Intelligent Transportation Systems Magazine, 9(2), 64-75. doi: 10.1109/MITS.2017.2666578
  67. Precedence Research. (2024). Artificial intelligence in transportation market size, share, and trends 2024 to 2034. Retrieved from https://www.precedenceresearch.com/artificial-intelligence-in-transportation-market
  68. PricewaterhouseCoopers Poland. (2024). Gotowi na sztuczną inteligencję: Oczekiwania polskich konsumentów i firm [Ready for Artificial Intelligence: Expectations of Polish Consumers and Companies]. Warszawa, Poland: PwC Polska.
  69. Qin, X., Ke, J., Wang, X., Tang, Y., & Yang, H. (2022). Demand management for smart transportation: A review. Multimodal Transportation, 1(4), 100038. doi: 10.1016/j.multra.2022.100038
  70. Rai, R., Tiwari, M. K., Ivanov, D., & Dolgui, A. (2021). Machine learning in manufacturing and Industry 4.0 applications. International Journal of Production Research, 59(16), 4773-4778. doi: 10.1080/00207543.2021.1956675
  71. Richey, R., Chowdhury, S., Davis‐Sramek, B., Giannakis, M., & Dwivedi, Y. (2023). Artificial intelligence in logistics and supply chain management: A primer and roadmap for research. Journal of Business Logistics, 44(4), 532-549. doi: 10.1111/jbl.12364
  72. Rong, R., Ma, S., Ren, N., Lin, Q., & Jia, N. (2025). Generative artificial intelligence in intelligent transportation systems: A systematic review of applications. Frontiers of Engineering Management, 12, 1020-1036. doi: 10.1007/s42524-025-4241-9
  73. SAE International. (2021). Taxonomy and definitions for terms related to on-road motor vehicle automated driving systems (J3016_202104). Warrendale, United States: SAE International.
  74. Schaub, F., Hipp, M., Kargl, F., & Weber, M. (2013). On credibility improvements for automotive navigation systems. Personal and Ubiquitous Computing, 17, 803-813. doi: 10.1007/s00779-012-0519-0
  75. Sturari, M., Catani, L., Mancini, A., & Frontoni, E. (2016). An integrated mobility system using real-time data for traffic simulation. In 2016 IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA) (pp. 1-6). IEEE. doi: 10.1109/MESA.2016.7587124
  76. Szpilko, D., & Ejdys, J. (2022). European Green Deal - research directions: Systematic literature review. Ekonomia i Środowisko, 2(80), 72-87. doi: 10.34659/eis.2022.81.2.455
  77. Tomaszewska, E. J. (2022). Korzyści wdrożenia inteligentnego systemu transportowego w mieście [Benefits of Implementing an Intelligent Transport System in a City]. Akademia Zarządzania, 6(3), 17-25.
  78. Tsolakis, N., Zissis, D., Papaefthimiou, S., & Korfiatis, N. (2021). Towards AI driven environmental sustainability: An application of automated logistics in container port terminals. International Journal of Production Research, 60, 4508-4528. doi: 10.1080/00207543.2021.1914355
  79. Veres, M., & Moussa, M. (2020). Deep learning for intelligent transportation systems: A survey of emerging trends. IEEE Transactions on Intelligent Transportation Systems, 21(8), 3152-3168. doi: 10.1109/TITS.2019.2929020
  80. Wach-Kloskowska, J., & Rześny-Cieplińska, J. (2018). Inteligentny i zrównoważony rozwój transportu jako element realizacji założeń koncepcji Smart City - przykłady polskie i europejskie [Intelligent and Sustainable Transport Development as Part of the Smart City Concept - Polish and European Examples]. Studia Miejskie, 30, 99-108. doi: 10.25167/sm2018.030.07
  81. Wang, Y., Yang, X., Liang, H., & Liu, Y. (2018). A review of the self-adaptive traffic signal control system based on future traffic environment. Journal of Advanced Transportation, 2018, 1498012. doi: 10.1155/2018/1096123
  82. Wojewódzka-Król, K. (2024). Innowacje w transporcie [Innovations in Transport]. Warszawa, Poland: Polskie Wydawnictwo Ekonomiczne.
  83. Wu, H. T., Hu, W. C., & Jiang, B. W. (2019). General-purpose intelligent management system of logistics fleet. In 2019 International Conference on Intelligent Computing and its Emerging Applications (ICEA) (pp. 92-96). IEEE. doi: 10.1109/ICEA.2019.8858292
  84. Yadlapalli, R. T., Kotapati, A., Kandipati, R., & Koritala, C. S. (2022). A review on energy efficient technologies for electric vehicle applications. Journal of Energy Storage, 50, 104212. doi: 10.1016/j.est.2022.104212
  85. Yang, W. C. (2017). Urban adaptive traffic signal control methods: A survey of the state of art. Transportation Science and Technology, 4, 152-157.
  86. Yang, Z., & Mehmed, E. (2019). Artificial neural networks in freight rate forecasting. Maritime Economics & Logistics, 21, 390-414.
  87. Yuan, T., da Rocha Neto, W., Rothenberg, C. E., Obraczka, K., Barakat, C., & Turletti, T. (2022). Machine learning for next‐generation intelligent transportation systems: A survey. Transactions on Emerging Telecommunications Technologies, 33(4), e4427. doi: 10.002/ett.4427
  88. Załoga, E., & Wojewódzka-Król, K. (2022). Transport. Tendencje zmian [Transport: Trends of Change]. Warszawa, Poland: Polskie Wydawnictwo Ekonomiczne.
  89. Zear, A., Singh, P. K., & Singh, Y. (2016). Intelligent transport system: A progressive review. Indian Journal of Science and Technology, 9(32), 1-8. doi: 10.17485/ijst/2016/v9i32/100713
  90. Zhang, L., Zhao, Q., Yu, P., Li, J., Yao, D., Wang, X., Wang, L., & Zhang, L. (2022). Research on integrated simulation platform for urban traffic control connecting simulation and practice. Scientific Reports, 12, 4536. doi: 10.1038/s41598-022-08481-w
  91. Zheng, J., Wang, Q., Xu, B., Bi, W., Tao, Y., Xiao, Y., & Ozdemir, S. (2016). Non-intrusive traffic data collection with wireless sensor networks for intelligent transportation systems. Ad Hoc & Sensor Wireless Networks, 34, 41-57.
  92. Zhu, L., Yu, F. R., Wang, Y., Ning, B., & Tang, T. (2018). Big data analytics in intelligent transportation systems: A survey. IEEE Transactions on Intelligent Transportation Systems, 20(1), 383-398. doi: 10.1109/TITS.2018.2815678
  93. Ziółko, M., & Dziedzic, D. (2024). Transport drogowy. Wyzwania i innowacje [Road Transport: Challenges and Innovations]. Warszawa, Poland: Wydawnictwo CeDeWu.
DOI: https://doi.org/10.2478/emj-2026-0015 | Journal eISSN: 2543-912X (formerly 2300-0813) | Journal ISSN: 2543-6597
Language: English
Page range: 48 - 65
Submitted on: Mar 27, 2026
Accepted on: Aug 1, 2026
Published online: Oct 8, 2026
Published in print: Sep 1, 2026
Published by: Bialystok University of Technology
In partnership with: Paradigm Publishing Services

© 2026 Marta Kadłubek, Agata Mesjasz-Lech, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.