A Resilience-as-a-Service assessment framework for coordinated disruption response in interdependent urban transit systems
Researchers have developed a new framework to assess the resilience of urban transit systems during disruptions. This KPI-driven, time-indexed system uses an optimization model combined with agent-based simulation to evaluate various response strategies. It considers factors like service continuity, cost, emissions, and equity, and was applied to the RER B line in Paris, showing that coordinated multimodal responses offer the most balanced resilience. AI
IMPACT Provides a structured approach for improving urban transit reliability during disruptions, potentially influencing future AI-driven operational planning.