2025 年 16 巻 論文ID: PP3884
Urban traffic congestion at signalized intersections leads to severe delays, fuel consumption, and environmental impacts, particularly in high-density areas. This study focuses on the Rama 4 intersection in Bangkok, where closely spaced intersections exacerbate queue spillback. Traditional fixed-time signals fail to adapt to fluctuating traffic volumes, necessitating an advanced approach.
This research evaluates an Adaptive Signal Control (ASC) scheme using VISSIM and VISVAP simulations to manage real-time traffic conditions. Key performance metrics, including queue length, spillback events, travel time, and throughput, were analyzed across multiple ASC scenarios. Results indicate significant improvements, with ASC reducing queue lengths, spillback events, and travel time while enhancing intersection efficiency. Scenario 4, incorporating ASC with queue detection at 60 meters, proved most effective. These findings underscore ASC's potential as a scalable solution for alleviating congestion and optimizing urban intersection performance.
