RESEARCH OF DISTRIBUTED DATA EXCHANGE TECHNOLOGIES IN THE CONTEXT OF INTELLIGENT TRANSPORT SYSTEMS
DOI:
https://doi.org/10.26906/SUNZ.2025.4.098Keywords:
intelligent transportation systems, distributed data exchange, decentralized networks, distributed ledger, scalability, data transmission reliabilityAbstract
The article presents the results of a study of distributed data exchange technologies aimed at ensuring effective interaction between components of intelligent transport systems (ITS). Modern approaches to the organization of decentralized information transmission networks are considered, in particular, the use of the concepts of distributed registries, peer-to-peer protocols, and service-oriented architectures. An analysis of the requirements for reliability, latency, and bandwidth of communication channels, which are critical for data exchange scenarios between vehicles and infrastructure, is conducted. Based on a comparative analysis, the advantages and limitations of existing technological solutions in the context of ensuring security, scalability, and fault tolerance are determined. The results of the study can be used to design adaptive traffic management models and develop intelligent interaction modules in new generation transport networks.Downloads
References
1. Dotsenko, N., Chumachenko, I., Galkin, A., Kuchuk, H. and Chumachenko, D. (2023), “Modeling the Transformation of Configuration Management Processes in a Multi-Project Environment”, Sustainability (Switzerland), Vol. 15(19), 14308, doi: https://doi.org/10.3390/su151914308
2. Zuev, A., Karaman, D. and Olshevskiy, A. (2023), “Wireless sensor synchronization method for monitoring short-term events”, Advanced Information Systems, vol. 7, no. 4, pp. 33–40, doi: https://doi.org/10.20998/2522-9052.2023.4.04
3. Buterin, V., Illum, J., Nadler, M., Schär, F. and Soleimani, A. (2024), “Blockchain privacy and regulatory compliance: Towards a practical equilibrium”, Blockchain Research and ApplicationsOpen source preview, vol. 5(1), no. 100176, doi: https://doi.org/10.1016/j.bcra.2023.100176
4. Kasahara, S., Kawahara, J., Minato, S.-I. and Mori, J. (2023), “DAG-Pathwidth: Graph Algorithmic Analyses of DAG-Type Blockchain Networks”, IEICE Transactions on Information and SystemsOpen source preview, E106D(3), pp. 272–283, doi: https://doi.org/10.1587/transinf.2022FCP0007
5. Xia, Y., Hua, Z., Yu, Y., Zang, B. and Guan, H. (2022), “Colony: A Privileged Trusted Execution Environment with Extensibility”, IEEE Transactions on Computers, vol. 71(2), pp. 479–492, doi: https://doi.org/10.1109/TC.2021.3055293
6. Cocco, L. and Tonelli, R. (2024), “A Self-Sovereign Identity–Blockchain-Based Model Proposal for Deep Digital Transformation in the Healthcare Sector”, Future Internet, vol. 16(12), 473, doi: https://doi.org/10.3390/fi16120473
7. Kuchuk, N., Kovalenko, A., Ruban, I., Shyshatskyi, A., Zakovorotnyi, O. and Sheviakov, I. (2023), “Traffic Modeling for the Industrial Internet of NanoThings”, 2023 IEEE 4th KhPI Week on Advanced Technology, KhPI Week 2023 - Conference Proceedings, 2023, doi: 194480. http://dx.doi.org/10.1109/KhPIWeek61412.2023.10312856
8. Kuchuk, H. and Malokhvii, E. (2024), “Integration of IOT with Cloud, Fog, and Edge Computing: A Review”, Advanced Information Systems, vol. 8(2), pp. 65–78, doi: https://doi.org/10.20998/2522-9052.2024.2.08
9. Decker, C. and Wattenhofer, R. (2014), “Bitcoin transaction malleability and MtGox”, European symposium on research in computer security, 370, pp. 313–326, doi: https://doi.org/10.1007/978-3-319-11212-1_18
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Copyright (c) 2025 Nina Kuchuk , Maksym Tregubenko , Danylo Kovalenko , Dmytro Lysytsia , Oleksandra Bellorin-Herrera
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
