Scholarlink

This study applies an approximate queuing framework to analyze pedestrian flow at 24 crosswalks in Hungary. Data on pedestrian and vehicle volumes, crosswalk dimensions, and vehicle speeds were collected. Key parameters such as pedestrian arrival rates, crossing times, and waiting times were estimated using simplified queuing assumptions. The analysis reveals that pedestrian flow and occupancy significantly impact crosswalk capacity, with reductions ranging from 3% to 50%, particularly at locations with high pedestrian volumes and longer crossing durations. Findings highlight the importance of pedestrian flow characteristics in capacity estimation and demonstrate the practicality of this framework for assessing crosswalk performance. This study applies queuing-based flow analysis across multiple real-world sites using low-data, accessible methods. The results provide valuable insights for urban planners seeking to optimize pedestrian safety and improve crosswalk efficiency, emphasizing the need for targeted interventions like signal timing adjustments and crosswalk redesigns. This approach offers a cost-effective tool for preliminary capacity analysis, supporting informed decision-making in urban transportation planning and pedestrian management.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Quantifying Capacity Reductions from Pedestrian Activity at Unsignalized Crosswalks: A Queuing-Based Assessment Across 24 Hungarian Sites

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Souvanthone Phetoudom,
  • Emese Makó

摘要

This study applies an approximate queuing framework to analyze pedestrian flow at 24 crosswalks in Hungary. Data on pedestrian and vehicle volumes, crosswalk dimensions, and vehicle speeds were collected. Key parameters such as pedestrian arrival rates, crossing times, and waiting times were estimated using simplified queuing assumptions. The analysis reveals that pedestrian flow and occupancy significantly impact crosswalk capacity, with reductions ranging from 3% to 50%, particularly at locations with high pedestrian volumes and longer crossing durations. Findings highlight the importance of pedestrian flow characteristics in capacity estimation and demonstrate the practicality of this framework for assessing crosswalk performance. This study applies queuing-based flow analysis across multiple real-world sites using low-data, accessible methods. The results provide valuable insights for urban planners seeking to optimize pedestrian safety and improve crosswalk efficiency, emphasizing the need for targeted interventions like signal timing adjustments and crosswalk redesigns. This approach offers a cost-effective tool for preliminary capacity analysis, supporting informed decision-making in urban transportation planning and pedestrian management.