Synchronized Multi-Point UAV-Based Traffic Monitoring for Urban Infrastructure Decision Support
Kabashkin I. Kulmurzina A. Nadimov B. Tlepiyeva G. Sansyzbayeva Z. Sultanov T.
May 2025Multidisciplinary Digital Publishing Institute (MDPI)
Drones
2025#9Issue 5
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.
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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Engineering Faculty, Transport and Telecommunication Institute, Lauvas 2, Riga, LV-1019, Latvia
LLP “Universal Tech Decisions”, Kabanbay Batyr Ave 53/42, Astana, KZ-10000, Kazakhstan
Engineering Faculty
LLP “Universal Tech Decisions”
10 лет помогаем публиковать статьи Международный издатель
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