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New FEDORA deliverable: Smarter routing and faster responses to transport

FEDORA has published Deliverable D4.2 – Advanced Routing and Mitigation Strategies, introducing a new set of tools designed to help transport networks detect disruptions earlier, optimise routing in real time, and respond more effectively when incidents occur.

The deliverable brings together three complementary components that strengthen multimodal network management across road, public transport and freight systems.

The first is a Complex Event Processing Engine (CEPE), which analyses traffic data in real time to identify unusual events and emerging disruptions. It combines AI-generated synthetic traffic data, short-term traffic forecasting, and computer vision techniques that simulate drone observations. Together, these capabilities help detect incidents and traffic anomalies as they develop, creating an early warning system for network operators.

A second component focuses on multimodal freight routing. The Synchromodal Conflict-Free Vehicle Routing Optimiser helps logistics operators adapt delivery routes when disruptions such as congestion, port delays or other incidents affect the network. By considering different transport modes, vehicle types and real-time traffic conditions, it supports more resilient and efficient freight movements, including last-mile deliveries.

The third innovation is the Dynamic Response Planner, a decision-support tool that helps traffic managers choose the best mitigation strategy once a disruption has been detected. Using traffic simulations, it evaluates different response options—such as adjusting speed limits or managing lane availability—and identifies the combination of measures that can restore network performance most effectively.

Together, these tools create a coordinated workflow: detecting incidents, adapting passenger and freight routes, and recommending targeted response actions. While the current deliverable presents the first proof-of-concept implementations, the next stage of FEDORA will integrate these components with real-world pilot data from cities including Vienna and Nicosia, helping demonstrate how intelligent network management can improve the resilience of Europe’s future multimodal transport systems.