Federation of network optimisation services, simulation foresights, and data alchemy for adaptable, agile, secure, and resilient multimodal traffic management 

A great variety of multimodal mobility services are available in current transportation systems to meet the complex needs and requirements of urban mobility. Lack of standardized and structured management of such mobility services and infrastructure results in suboptimal performance of the entire network and in a significant divergence from EU’s sustainable mobility targets. FEDORA aims to pave the way towards advanced traffic and network management through the development of a federated spaces platform offering a holistic framework of innovative solutions and services that enable precise and pro-acting sensing of supply and demand, facilitate optimal operation of transport services, and advances learning and evolution in complex environments. At the operational level, FEDORA offers a collaborative space of data that can realize advanced data alchemy processes using interconnected services and tools, a space of advanced traffic management optimisation services and a multi-modal simulation space to create and assess future mobility scenarios. The approach is validated in varying EU urban and rural contexts, infrastructure maturity levels, multimodal mobility services availability, organisation/operational structures and social conditions.  

How We Contribute

NTUA leads the systematic literature review regarding several aspects of multimodal traffic management, related to the three main domains of FEDORA project, namely data, simulation and network management. Moreover, we will introduce a self-supervised approach for non-recurrent incident detection and complex traffic patterns identification, as well as mitigation strategies that will be tested in simulation, that will enable accurate and timely decision-making and intervention. Finally, NTUA leads WP5 that focuses on the development of multimodal simulation engines. Within its framework, NTUA will develop a framework for lightweight, efficient and easy-to-calibrate simulation and Sim2Real techniques, aiming to bridge the gap between the complex real world and the simulation environment.