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Urban congestion at intersections is one of the most critical challenges in managing traffic flow within rapidly developing city zones. This study presents a comprehensive evaluation of smart signal phase control strategies for 13 signalized intersections in a 1637-hectare urban development district in Astana, Kazakhstan. Using UAV-based aerial surveillance, GIS analysis, and microscopic traffic simulation, four control scenarios were tested: (A) re-optimized fixed-time 2-phase plans, (B) dynamic 3-phase cycles, (C) pedestrian-priority modes, and (D) fully adaptive real-time control. Performance was assessed across key indicators such as average vehicle delay, queue length, intersection throughput, saturation degree, and pedestrian level of service. Using microscopic traffic simulation tools, each scenario was tested under peak conditions. The article discusses the obtained results and proposes methods for decision making based on the simulation results.

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Adaptive Signal Control Strategies for High-Density Urban Intersections

  • 会议论文

  • 发表日期：

    2026年

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  • Alua Kulmurzina,
  • Duman Iskakov,
  • Zura Sansyzbayeva,
  • Timur Sultanov,
  • Gulnar Tlepiyeva,
  • Assel Zhandarbekova

摘要

Urban congestion at intersections is one of the most critical challenges in managing traffic flow within rapidly developing city zones. This study presents a comprehensive evaluation of smart signal phase control strategies for 13 signalized intersections in a 1637-hectare urban development district in Astana, Kazakhstan. Using UAV-based aerial surveillance, GIS analysis, and microscopic traffic simulation, four control scenarios were tested: (A) re-optimized fixed-time 2-phase plans, (B) dynamic 3-phase cycles, (C) pedestrian-priority modes, and (D) fully adaptive real-time control. Performance was assessed across key indicators such as average vehicle delay, queue length, intersection throughput, saturation degree, and pedestrian level of service. Using microscopic traffic simulation tools, each scenario was tested under peak conditions. The article discusses the obtained results and proposes methods for decision making based on the simulation results.