Enhancing urban traffic resilience under pluvial flooding through adaptive signal control

This study developed an integrated simulation framework that couples hydrodynamic inundation modeling with an agent-based traffic-rescue simulation to examine adaptive resilience in urban traffic networks under compound flood-traffic conditions. Pluvial flooding disrupts road transport and emergency rescue operations, amplifying cascading risks across urban traffic systems and constraining disaster response effectiveness. 

The results reveal a strong spatial coupling between inundation corridors and congestion-prone traffic arteries, forming cascading flood-traffic risk pathways that amplify congestion propagation and emergency response delays. During flooding, maintaining baseline fixed-cycle signal operation under low-demand conditions shows stronger system resistance than premature YLPC activation, shortening emergency response time by up to 49.2 min, equivalent to a 12.6% reduction, while GLRO enhances combined rescue and traffic efficiency by 15.6% during peak hours.