A CASE STUDY ON DESIGN, OPTIMISATION AND EFFECTS OF TRAFFIC SIGNALS AT SARAKKI JUNCTION.

Urban intersections in growing cities like Bengaluru are increasingly strained by rising traffic volumes and inconsistent signal operations. Sarakki Junction, a key node in South Bengaluru's Outer Ring Road corridor, reflects these urban mobility challenges, with recurring congestion, long delays, and poor pedestrian safety. This study investigates the existing conditions at Sarakki Junction and proposes improvements through data-driven signal optimization. A comprehensive field survey was undertaken, combining manual classified vehicle counts with feedback collected from road users through structured questionnaires. The aim was to understand both quantitative traffic flow patterns and qualitative perceptions of delay, safety, and infrastructure adequacy. Using this data, a detailed simulation model of the junction was developed in PTV VISSIM. The model incorporated actual geometric layouts, signal configurations, and observed vehicle behaviors. To improve reliability, local driving styles, marked by frequent lane changes and limited discipline, were calibrated into the model. Subsequently, signal timings were optimized using standard methodologies and tested under simulated conditions. The optimization led to a significant reduction in average delay times across all approaches. Results indicate that with improved signal phasing and vehicle movement logic, even complex intersections like Sarakki can experience measurable performance gains. Additionally, the study emphasizes the importance of integrating simulation tools with on-ground user feedback for urban traffic management. By showcasing the practical benefits of microsimulation-based optimization, this case study contributes to ongoing efforts in making Bengaluru's traffic infrastructure more responsive, efficient, and commuter-friendly. [ABSTRACT FROM AUTHOR]