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Title	Synchronized Multi-Point Uav-Based Traffic Monitoring For Urban Infrastructure Decision Support
ID_Doc	54186
Authors	Kabashkin I.; Kulmurzina A.; Nadimov B.; Tlepiyeva G.; Sansyzbayeva Z.; Sultanov T.
Year	2025
Published	Drones, 9, 5
DOI	http://dx.doi.org/10.3390/drones9050370
Abstract	This study presents a comprehensive methodology for urban traffic monitoring and infrastructure decision making, centered on synchronous, simultaneous aerial data collection through a distributed multi-point UAV deployment. Conducted in the GreenLine district of Astana, Kazakhstan, the research utilized a coordinated fleet of UAVs to capture real-time video footage at 30 critical observation points during peak traffic periods, enabling a network-wide view of traffic dynamics. The collected data were processed to extract key traffic parameters, such as flow rates, vehicle speeds, and delays, which informed the calibration of a detailed traffic simulation model. Based on this model, six infrastructure development scenarios were evaluated using a multi-criteria decision-making framework to identify the most effective intervention strategies. This study introduces a replicable, data-driven approach that links synchronized UAV sensing with simulation-based evaluation, offering a practical decision support tool for improving urban infrastructure performance within the context of smart and rapidly evolving cities. © 2025 by the authors.
Author Keywords	aerial data processing; decision support systems; multi-criteria evaluation; smart cities; traffic congestion; traffic monitoring; traffic simulation; UAV; urban mobility planning

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