Adaptive traffic control
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Date
2024
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Publisher
Faculty of Engineering and Natural Sciences
Abstract
Adaptive traffic control is a key aspect of modern transport systems, aimed at optimizing the flow of vehicles, increasing safety and reducing congestion on the road infrastructure. This research abstract examines the concepts, methods and technologies of adaptive traffic control and their application to improve traffic efficiency. The paper discusses the basic principles of adaptive control, including the use of real-time traffic data, traffic flow forecasting, as well as methods for optimizing traffic light control and dynamic changes in road speed limits. Modern technologies, such as smart city systems and autonomous vehicles, and their impact on the development of adaptive traffic management are also discussed. The results of the study are of practical interest to city authorities, transport organizations and engineers seeking to make traffic more efficient, safe and sustainable. During the research, an article was published in an international collection on the topic “The implementation of adaptive traffic control system for reducing traffic congestion.” Work was carried out on methodology, data collection and analysis. The experiments were carried out in a simulated environment The SUMO simulator for the intersection of K. Tulemetov and T. Utegenova streets, Shymkent. The SUMO simulator – Simulation of Urban MObility is a discretetime platform for modeling traffic flows and is intended for assessing vehicle mobility models in the context of traffic management, and simulating assessment of traffic video surveillance systems. To simulate the transport situation in the simulator, data from video cameras close to the intersection are used.
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Keywords
SUMO simulator, traffic control system, traffic management
Citation
Aitureyeva B / Adaptive traffic control / Faculty of Engineering and Natural Sciences / 7M05401 - 2024