FEDORA has published Deliverable D2.2 – Living Labs Setup, Spaces Definition and Evaluation Models, establishing an important foundation for how the project will develop and test new approaches to multimodal transport management together with the people and organisations who use and operate transport systems every day.

At the heart of the deliverable is FEDORA’s Living Lab approach. During the first year of the project, stakeholders across all six pilot cities took part in workshops to identify local challenges, needs and priorities. These discussions brought together a broad range of perspectives and helped the project understand what different cities need from new mobility solutions—including operational requirements, data availability and governance considerations.

The co-creation process also helped identify and initially validate use cases for each pilot site. By connecting these local challenges with FEDORA’s planned innovations, the project can ensure that the technologies being developed respond to real-world problems rather than being designed in isolation.

A second part of the deliverable defines the FEDORA spaces and evaluation framework. These provide a common structure for bringing together the project’s different technologies and for assessing how well they perform. The work also identifies links and dependencies between the six pilots, helping partners coordinate their activities as the project moves towards its demonstration phase.

Importantly, the Living Lab process is not simply about testing finished technologies. It creates an ongoing dialogue between researchers, transport operators, public authorities and other stakeholders, allowing solutions to be refined as practical challenges emerge.

With D2.2, FEDORA has therefore established the methodological and operational basis for its second year—ensuring that the project’s innovations remain grounded in the needs and realities of the cities where they will ultimately be demonstrated.

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.

FEDORA has published Deliverable D5.1 – Integrated Multimodal Simulation and Prediction Framework, marking an important milestone in the development of the project’s Simulation Space: a virtual environment where new mobility services, transport policies and network management strategies can be tested before being deployed in real cities.

The Simulation Space brings together three essential building blocks: a city-scale traffic simulation engine, realistic models of traveller behaviour, and controllers that simulate how mobility services and policies operate across a transport network.

One of the deliverable’s main achievements is a new multimodal traffic simulator developed in Python. Rather than modelling every individual vehicle, it captures traffic dynamics at network level while representing cars, buses and trucks. Tested against a detailed simulation of central Athens during the morning peak, it reproduced key traffic patterns with high accuracy while running around 1,000 times faster than the microscopic reference model. This speed makes it ideal for exploring multiple scenarios and supporting future AI-assisted traffic management.

The framework also introduces an agent-based demand model for the Greater Copenhagen Area. Using the open-source SimMobility platform, it creates realistic daily travel schedules for a synthetic population of around 165,000 travellers, representing more than one million trips across a wide range of transport modes, including shared and demand-responsive mobility services.

A third component is a suite of service and policy controllers that models the operation of buses, trains, mobility-on-demand fleets and MaaS platforms, while also enabling the testing of measures such as dynamic pricing and travel credit schemes.

Together, these components establish the technological foundation for FEDORA’s integrated Simulation Space. As development continues, this environment will help project partners evaluate innovative multimodal mobility solutions in a safe, flexible and highly efficient virtual setting—supporting better-informed decisions for the transport systems of tomorrow.