The EU-funded SYNCHROMODE project will address major challenges faced by European transport systems, including traffic congestion, road safety, energy consumption, and emissions. The project aims to transform traffic management by incorporating a multimodal network-wide perspective. To that end, it will equip traffic managers with the SYNCHROMODE Toolbox, providing predictive and optimisation capabilities to balance network supply and demand and manage the impacts of events. Furthermore, it will execute research activities beyond the current state of the art in transport modelling, traffic prediction, optimisation of multimodal traffic operations, enhanced data quality, use of new multimodal traffic data sources, and new KPIs for improved monitoring and assessment. Project results will be tested and validated in three real-world case studies: Thessaloniki (Greece), the Netherlands, and Madrid (Spain).

SYNCHROMODE aims to develop data driven ICT tools for improving the management of transport operations from a multimodal perspective and managing the overall transport network as a whole. SYNCHROMODE will provide to transport managers new predictive and network optimization capabilities for balancing the transport supply and demand, and capable of reacting to different types of events.

The project will research in transport network supply& demand modelling, simulation and prediction of future states; optimization techniques for multimodal traffic optimisation, standards for data collection and storage; new governance models in transport management and new approaches for defining KPI for assessing the overall solution.