The planning and management of transport systems requires accurate, reliable and updated travel demand information, including travellers’ socio-economic profile, origin and destination of the trips, trip purpose, transport modes and route choice. Traditional data collection methods, such as household travel surveys, are expensive and require months or even years to complete. TripOD is an innovative solution developed by Nommon that mines and analyses a variety of ICT-based data sources (e.g., mobile phone records, smart cards), alone or in combination with traditional data (e.g., census, traffic counts), to provide frequently updated and rich demographic and travel demand information in a fraction of the time and cost required by traditional methods. The targeted users are those stakeholders in need of travel demand data, including public authorities and agencies in charge of transport planning and management, public and private transport operators and service providers (e.g., toll road concessionaires), consultants and researchers. Altogether, these users constitute a market of significant size, which is expected to grow continuously along the coming decades due to the increasing awareness about the importance of sustainable and efficient transport systems and the cost-efficiency of the TripOD solution, which makes it affordable for public bodies and companies of any size. The overall goal of the feasibility study is to assess the technological and economic viability of the proposed concept and elaborate a detailed business plan. The specific objectives are: - to evaluate the technical feasibility of the solution in operational conditions; - to provide an in-depth analysis of the market at worldwide level, including users and their needs, competitors and entry barriers, data providers, stakeholders and potential alliances; - to evaluate financial feasibility; - to design a strategy to protect intellectual property rights; - to identify risks and opportunities.

ATM performance results from the complex interaction of interdependent policies and regulations, stakeholders, technologies and market conditions. Trade-offs arise not only between KPAs, but also between stakeholders, as well as between short-term and long-term objectives. While a lot of effort has traditionally been devoted to the development of microscopic performance models, there is a lack of useful macro approaches able to translate local improvements or specific regulations into their impact on high-level, system-wide KPIs. The goal of INTUIT is to explore the potential of visual analytics, machine learning and systems modelling techniques to improve our understanding of the trade-offs between ATM KPAs, identify cause-effect relationships between KPIs at different scales, and develop new decision support tools for ATM performance monitoring and management. The specific objectives of the project are: 1. to conduct a systematic characterisation of the ATM performance datasets available at different spatial and temporal scales and evaluate their potential to inform the development of new indicators and modelling approaches; 2. to propose new metrics and indicators providing new angles of analysis of ATM performance; 3. to develop a set of visual analytics and machine learning algorithms for the extraction of relevant and understandable patterns from ATM performance data; 4. to investigate new data-driven modelling techniques and evaluate their potential to provide new insights about cause-effect relationships between performance drivers and performance indicators; 5. to integrate the newly developed analytical and visualisation functionalities into an interactive dashboard supporting multi-dimensional performance assessment and decision making for both monitoring and management purposes.

The Master Planning and Monitoring project (so called AMPLE3 ) is to support the SESAR3 Joint Undertaking (S3JU) in planning and reporting on deployment activities in deployment (covering both industrialisation and implementation), and when need be, to contribute to the update the European ATM MP. The project provides Content Integration (CI) service to S3JU in support of the development activities and the delivery of a coherent set of SESAR Solutions aligned at content level with the S3JU MAWP direction and ambitions declined from the European ATM MP. While earlier SESAR Programmes addressed phases A, B and C of the SESAR Vision, the SESAR 3 JU Multi Annual Work Programme (MAWP) presents the strategic Research and Innovation (R&I) roadmaps of the Digital European Sky (DES) Programme to achieve also Phase D of the SESAR Vision. The MAWP identified several Transversal Activities (TA) to make the DES Programme not just a list of disconnected projects but a coherent programme, supporting delivery of SESAR Solutions.

Disruptive technologies, such as MaaS and CAVs, are bringing radical changes in urban mobility. The goal of MOMENTUM is to develop a set of new data analysis methods, transport models and planning support tools able to capture the impact of new transport options on urban mobility, in order to support cities in the task of designing the right policy mix to exploit the full potential of emerging mobility solutions. The specific objectives of the project are: 1. Identify a set of plausible future scenarios for the next decade to be taken into account for mobility planning in European cities, considering the introduction of disruptive technologies such as CAVs. 2. Characterise emerging activity-travel patterns, by profiting from the increasing availability of high-resolution spatio-temporal data collected from personal mobile devices and digital sensors. 3. Develop data-driven predictive models of the adoption and use of new mobility concepts and transport solutions, in particular MaaS and shared mobility, and their interaction with public transport. 4. Provide transport simulation and planning support tools able to cope with the new challenges faced by transport planning, by enhancing existing state-of-the-art tools with the new data analysis methods and travel demand models developed by the project. 5. Demonstrate the potential of the newly developed methods and tools by testing the impact of a variety of policies and innovative transport services in different European cities with heterogeneous sizes and characteristics, namely Madrid, Thessaloniki, Leuven, and Regensburg, and evaluating the contribution of the proposed measures to the strategic policy goals of each city. 6. Provide guidelines for the practical use of the methods, tools and lessons learnt delivered by the project in the elaboration and implementation of SUMPs and other planning instruments.