Congestion has become a significant issue with the increasing population and vehicle volume. Biratnagar, an economic hub of Nepal, is a crucial entry point from India. The Kanchanbari intersection has been dealing with challenges such as congestion, long queues, and frequent accidents. This critical situation needs our attention. This paper aims to optimize the intersection using SIDRA Intersection 8.0 software. Traffic volume data was collected over 72 hours, and geometrical characteristics were recorded manually. The model was designed for morning, afternoon, and evening peak hours. The maximum traffic flow was in the evening from 5:45 p.m. to 6:45 p.m. A model was developed using SIDRA 8.0 to analyze the current conditions. The model was validated to ensure accuracy by comparing the simulated queue lengths with real-time observed data. Optimization was conducted using signal length optimization and controlled left turn movements. Both strategies significantly reduced average delay and queue length, proving the latter the most effective.
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Acharya et al. (2024) studied this question.
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