The European transport faces major challenges in terms of traffic congestion, safety, greenhouse gas emissions and its derived costs. In addition, the development of disruptive technologies and emergence of new mobility solutions generate a revolution in transport network and traffic management. 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. SYNCHROMODE will deliver a suite of services for improving the overall transport network management, fostering the coordination of different agents involved in the provision and control of the transport services, the services are: 1) Transport network-wide data exchange and integration system; 2) Cooperative dashboard for real-time monitoring and prediction of network-wide multimodal transport and traffic; 3) Resilient multimodal transport network and traffic management support tool. SYNCHROMODE system will test and validate its results in 3 real Case studies, Thessaloniki (GR), Netherlands and Madrid (SP), with real data from various modes of transport under different traffic events, such as bottlenecks, accidents etc.

SPINE’s vision is to accelerate the progress towards climate neutrality by reinforcing PT systems through their smart integration with new mobility services, sharing schemes, active transport modes, and micromomibilty. SPINE adopts an equity centred design thinking approach, leading the transition to a more efficient, sustainable, resilient, and inclusive PT system. A network of collaborative LLs is developed to foster transferability, while an intersectional view of the transport system users is applied. Four Lead City LLs in Antwerp, Bologna, Tallin and Las Palmas will be established, and a series of co-creation activities will take place where multiple stakeholders will be actively engaged in the development and demonstration of efficient, replicable, and socially acceptable innovative mobility solutions, advancing existing assets. The SPINE approach involves the creation of (a) innovative simulation and Digital Twining (DT) tools, along with open data and behavioural models, that will allow the building of scenarios combining different mobility interventions (push and pull measures along with supporting policies) and the implementation of the most promising ones; (b) data-driven impact assessment models that will foster the twinning, transferability and adaptation of the successful solutions of the four LLs in seven Twining Cities - Barreiro, Valladolid, Zilina, Sibenik, Hrakleion, Gdynia and Rouen-. SPIRE sets a high ambitious plan for the co-design and implementation of 55 smart greens inclusive mobility solutions. The SPINE consortium brings together a multidisciplinary team of 39 partners from 16 countries. The unique mix of experienced transport engineers, Public transport Operators, computer scientists, data analysts, transport modelers, social scientists, urban planners, policy analysts, software providers, within our consortium assures the comprehensive approach to the challenges, scope, expected impact and the successful delivery of the project.