This study investigates the start-up loss time at signalized intersections in mixed traffic conditions. Start-up loss time is the delay during the initial phase when the signal turns green, caused by driver reaction time and vehicle acceleration. Analyzing start-up loss time helps understand how different vehicle types affect traffic flow, enabling targeted strategies for reducing delays. This study aims to analyze and understand the factors influencing start-up loss time at signalized intersections in mixed traffic conditions, comparing the differences between three-legged and four-legged intersections. To achieve the aim, the sites were selected in Nagpur city. To analyze the effect of variation in the geometry on start-up loss time, three-legged and four-legged intersections were chosen. Further, the data was collected using a video graphic survey and processed using Kinovea software and pivot tables in Excel. Vehicle movements were tracked in the video using Kinovea software, and the recorded frames were analyzed in Excel. The outcome of the study indicates that while crossing the four-legged intersections, vehicles experience lower start-up loss times than the three-legged intersections due to more direct turning routes.

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Estimation of Start-Up Loss Time at Signalized Intersections for Heterogeneous Traffic Scenario

  • Prajwal Madghe,
  • Arpita Saha

摘要

This study investigates the start-up loss time at signalized intersections in mixed traffic conditions. Start-up loss time is the delay during the initial phase when the signal turns green, caused by driver reaction time and vehicle acceleration. Analyzing start-up loss time helps understand how different vehicle types affect traffic flow, enabling targeted strategies for reducing delays. This study aims to analyze and understand the factors influencing start-up loss time at signalized intersections in mixed traffic conditions, comparing the differences between three-legged and four-legged intersections. To achieve the aim, the sites were selected in Nagpur city. To analyze the effect of variation in the geometry on start-up loss time, three-legged and four-legged intersections were chosen. Further, the data was collected using a video graphic survey and processed using Kinovea software and pivot tables in Excel. Vehicle movements were tracked in the video using Kinovea software, and the recorded frames were analyzed in Excel. The outcome of the study indicates that while crossing the four-legged intersections, vehicles experience lower start-up loss times than the three-legged intersections due to more direct turning routes.