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<p>Pedestrian movements greatly impact the urban roadway performance, leading to disruptions in traffic flow, increasing congestion, delays and diminishing both capacity and operational performance. While existing studies have explored various aspects of pedestrian dynamics such as flow characteristics, behavior, safety and vehicle-pedestrian interactions, but their direct impact on urban road performance and traffic characteristics remains underexplored, highlighting the need for this study. The present study utilizes videographic data to examine the pedestrian movements and their impact on vehicular speed, roadway capacity and level of service (LOS). Regression model was built to quantify these effects, demonstrating strong predictive accuracy (R² = 0.80) and further validated using a mean absolute percentage error of 5.16%. The results indicate a substantial 30% reduction in roadway capacity due to pedestrian-induced friction, leading to a deterioration in the level of service from C to E, characterized by forced flow conditions, lower travel speeds and deteriorated roadway performance. The validated model serves as a robust framework and a reliable tool for assessing speed variations and capacity reductions in similar heterogenous urban roadway conditions. The outcomes of the study will provide critical insights to urban planners, traffic engineers and policymakers in designing pedestrian friendly infrastructures, optimizing traffic flow and enhancing improved urban mobility.</p>

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Investigation of pedestrian interaction on traffic characteristics in heterogeneous traffic conditions on an urban midblock section

  • 期刊论文

  • 发表日期：

    2025年7月21日

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  • Shishodiya Ghanshyam Singh,
  • Kura Varshini Vidhyadhari,
  • Bollepally Sruthi,
  • Challa Prathyusha

摘要

Pedestrian movements greatly impact the urban roadway performance, leading to disruptions in traffic flow, increasing congestion, delays and diminishing both capacity and operational performance. While existing studies have explored various aspects of pedestrian dynamics such as flow characteristics, behavior, safety and vehicle-pedestrian interactions, but their direct impact on urban road performance and traffic characteristics remains underexplored, highlighting the need for this study. The present study utilizes videographic data to examine the pedestrian movements and their impact on vehicular speed, roadway capacity and level of service (LOS). Regression model was built to quantify these effects, demonstrating strong predictive accuracy (R² = 0.80) and further validated using a mean absolute percentage error of 5.16%. The results indicate a substantial 30% reduction in roadway capacity due to pedestrian-induced friction, leading to a deterioration in the level of service from C to E, characterized by forced flow conditions, lower travel speeds and deteriorated roadway performance. The validated model serves as a robust framework and a reliable tool for assessing speed variations and capacity reductions in similar heterogenous urban roadway conditions. The outcomes of the study will provide critical insights to urban planners, traffic engineers and policymakers in designing pedestrian friendly infrastructures, optimizing traffic flow and enhancing improved urban mobility.