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.