<p>Perimeter control based on the macroscopic fundamental diagram (MFD) has recently been mainly studied to operate an urban traffic network at its capacity and proactively avoid regional traffic congestion. Nevertheless, these studies are mostly applied to static boundaries, leading to overflow problems in some boundary links. This paper contributes to the state-of-the-art by proposing a resilient perimeter control method for single urban congested region with dynamic spatiotemporal correlation of boundary links. For a single urban congested region, the MFD is introduced to characterize traffic dynamics and evaluate network capacity. To capture traffic dynamics between the upstream and downstream of boundary links, an enhanced comprehensive traffic correlation model is proposed using a dual-factor spatiotemporal method, accounting for differences in road conditions and traffic dynamics. Based on correlation analysis for traffic state division of boundary links, the gated single-layer/double-layer gradient intersections and their associated road links are modeled as dynamic resilient control boundaries. A robust resilient perimeter control method is then formulated for adjusting traffic signal timing on the region’s dynamic periphery. Simulation experiments on Jinan’s central urban network enabled quantitative evaluations across two dimensions: regional interior and boundary links. Results demonstrate that at the regional level, the proposed strategy increased average speed by 23.5% compared to no perimeter control and exceeded comparative method performance by 15.6%. And at boundary links, the strategy achieved 29.4% lower average delay and 25.3% fewer overflows versus the comparative method. These findings significantly enhance both regional traffic efficiency and boundary link stability, providing implementable resilient perimeter control schemes for metropolitan cores and business districts.</p>

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

Resilient Perimeter Control for Single Urban Congested Region with Dynamic Spatiotemporal Correlation of Boundary Links

  • Yajuan Guo,
  • Xinyi Lu,
  • Xiaoli Zhang,
  • Boxian Chen,
  • Liping Yang

摘要

Perimeter control based on the macroscopic fundamental diagram (MFD) has recently been mainly studied to operate an urban traffic network at its capacity and proactively avoid regional traffic congestion. Nevertheless, these studies are mostly applied to static boundaries, leading to overflow problems in some boundary links. This paper contributes to the state-of-the-art by proposing a resilient perimeter control method for single urban congested region with dynamic spatiotemporal correlation of boundary links. For a single urban congested region, the MFD is introduced to characterize traffic dynamics and evaluate network capacity. To capture traffic dynamics between the upstream and downstream of boundary links, an enhanced comprehensive traffic correlation model is proposed using a dual-factor spatiotemporal method, accounting for differences in road conditions and traffic dynamics. Based on correlation analysis for traffic state division of boundary links, the gated single-layer/double-layer gradient intersections and their associated road links are modeled as dynamic resilient control boundaries. A robust resilient perimeter control method is then formulated for adjusting traffic signal timing on the region’s dynamic periphery. Simulation experiments on Jinan’s central urban network enabled quantitative evaluations across two dimensions: regional interior and boundary links. Results demonstrate that at the regional level, the proposed strategy increased average speed by 23.5% compared to no perimeter control and exceeded comparative method performance by 15.6%. And at boundary links, the strategy achieved 29.4% lower average delay and 25.3% fewer overflows versus the comparative method. These findings significantly enhance both regional traffic efficiency and boundary link stability, providing implementable resilient perimeter control schemes for metropolitan cores and business districts.