Abstract
The article discusses new smart technologies for monitoring and controlling road traffic in the city of Almaty. It is shown that the megapolis has specific features in automating the processes of controlling the movement of vehicles. They are connected with the polycentricity of the city and a number of mutually intersecting traffic flows in the central part of Almaty. The algorithms and applications presented in the article for the AnyLogic PLE environment open up practical opportunities to predict, based on an event-probabilistic simulation model of traffic, the dynamics of the development of congestion processes with a few hours ahead of time.
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Acknowledgment
This work was carried out and sponsored within the framework of the scientific project AR09261344 “Development of methods for automatic extraction of geospatial objects from heterogeneous sources for information support of geographic information systems”.
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Mansurova, M.E., Belgibaev, B.A., Zhamangarin, D.S., Zholdas, N.A. (2022). Traffic Management in Smart City. In: Szczerbicki, E., Wojtkiewicz, K., Nguyen, S.V., Pietranik, M., Krótkiewicz, M. (eds) Recent Challenges in Intelligent Information and Database Systems. ACIIDS 2022. Communications in Computer and Information Science, vol 1716. Springer, Singapore. https://doi.org/10.1007/978-981-19-8234-7_23
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DOI: https://doi.org/10.1007/978-981-19-8234-7_23
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