UNIV. NEWS. NORTH-CAUCAS. REG. TECHNICAL SCIENCES SERIES. 2022; 1: 11-20
http://dx.doi.org/10.17213/1560-3644-2022-1-11-20
DEVELOPMENT OF A TRAFFIC MANAGEMENT SYSTEM BASED ON THE IEC 61499 STANDARD
Elkin Dmitriy M. – assistant, delkin@sfedu.ru
Vyatkin Valeriy V. – Doctor Technical Sciences, professor, vvyatkin@sfedu.ru
Abstract
The need for the correct and efficient functioning of control systems is related to their widespread use in various subject areas, which, among other things, affect human welfare and well-being. The question of developing such systems, creating methods for their design and algorithms by which the systems will function to successfully perform the tasks assigned to them arises sharply. This paper describes the implementation of a distributed system for transport control using the method and algorithms that are implemented in the concept of event-related automata models according to the IEC 61499 standard. The proposed traffic control system can be applied to any type of intersections and road network sections regardless of geometric and transport characteristics. The interaction and application of control actions is based on the algorithms proposed by the authors, but the structure of the method allows the application of other algorithms that may be developed by the scientific community.
Keywords: traffic control, adaptive control, distributed control system, traffic, IEC 61499, plug and play
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References
- De Souza Allan M. et al. Traffic management systems: A classification, review, challenges, and future perspectives. International Journal of Distributed Sensor Networks 13.4. 2017. 1550147716683612.
- Slavin Courtney et al. Statistical study of the impact of adaptive traffic signal control on traffic and transit performance. Transportation Research Record 2356.1. 2013. 117-126.
- An Sheng-hai, Byung-Hyug Lee, Dong-Ryeol Shin. A survey of intelligent transportation systems. 2011 Third International Conference on Computational Intelligence, Communication Systems and Networks. IEEE. 2011.
- Liu Ying, Lei Liu, Wei-Peng Chen. Intelligent traffic light control using distributed multi-agent Q learning. 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC). IEEE. 2017.
- Bui Khac-Hoai Nam, Jason J. Jung. Internet of agents framework for connected vehicles: A case study on distributed traffic control system. Journal of Parallel and Distributed Computing 116. 2018. 89-95.
- De Souza AM, Villas L. A fully-distributed traffic management system to improve the overall traffic efficiency. In: 2016 ACM international conference on modeling, analysis and simulation of wireless and mobile systems, Malta, 13-17 November 2016. New York: ACM.
- Vyatkin V. IEC 61499 as enabler of distributed and intelligent automation: State-of-the-art review. IEEE transactions on Industrial Informatics. 2011; 7. (4):768-781.
- Thramboulidis K. IEC 61499 in factory automation. Advances in Computer, Information, and Systems Sciences, and Engineering, 2007; pp. 115-124.
- Lyu Guolin, Robert William Brennan. Towards IEC 61499-Based Distributed Intelligent Automation: A Literature Review. IEEE Transactions on Industrial Informatics 17.4. 2020. 2295-2306.
- Elkin D., Vyatkin V. Distributed Traffic Control Method Based on Interconnected Agents. In: Silhavy R. (eds) Informatics and Cybernetics in Intelligent Systems. CSOC 2021. Lecture Notes in Networks and Systems. 2021; Vol. 228. Springer, Cham. https://doi.org/10.1007/978-3-030-77448-6_53
- Lopez P.A. et al. Microscopic traffic simulation using sumo. 2018 21st International Conference on Intelligent Transportation Systems (ITSC). IEEE. 2018; рр. 2575-2582.