This paper investigates the existence of a regional-scale density de-lay function using simulations of the Dublin urban road network. This study divides the network into five zones and simulates traffic flows using the Simulation of Urban Mobility (SUMO). Data from the simulation construct regional density delay diagrams for each zone, revealing a clear relationship between traffic density and delay. The analysis applies the Bureau of Public Roads (BPR) volume delay function, substituting volume with density to fit the collected data. The results demonstrate a strong correlation and provide a robust model for predicting delays based on regional density. This newly identified density delay function has significant implications for regional congestion pricing and vehicle routing control, offering a practical tool for urban traffic management and policy-making.

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

Existence of Regional-Scale Density Delay Function: Some Simulation findings

  • Qiong Lu,
  • Xiaohui Sun,
  • Jin Ran,
  • Bing Wang

摘要

This paper investigates the existence of a regional-scale density de-lay function using simulations of the Dublin urban road network. This study divides the network into five zones and simulates traffic flows using the Simulation of Urban Mobility (SUMO). Data from the simulation construct regional density delay diagrams for each zone, revealing a clear relationship between traffic density and delay. The analysis applies the Bureau of Public Roads (BPR) volume delay function, substituting volume with density to fit the collected data. The results demonstrate a strong correlation and provide a robust model for predicting delays based on regional density. This newly identified density delay function has significant implications for regional congestion pricing and vehicle routing control, offering a practical tool for urban traffic management and policy-making.