Fabio Luis Marques dos Santos

The European Green Deal and its target to achieve a 90% reduction in transport-related greenhouse gas emissions by 2050 together with the new European Union Urban Mobility Framework put urban mobility and logistics in the spotlight of European mobility policies. Research and innovation are paramount to respond to the challenges and to further improve mobility and transport systems in cities, while fully tackling the negative impacts of transport. This study provides a review of recent trends, challenges and achievements of European research and innovation initiatives in urban mobility and logistics and examines their alignment with the overarching transport and mobility policy objectives. The paper identifies relevant projects that focus on urban mobility, using the Transport Research and Innovation Monitoring and Information System (TRIMIS) database. It identifies the main trends in European research and discusses main areas of development and key achievements. It also presents recommendations for future research priorities and initiatives.

Many concepts and innovations aim to improve transport and mobility, while helping to decrease the externalities that transport imposes on society. Research and innovation monitoring tools are important to assess the current state of development so that research funding and policy making efforts can be aligned optimally. This paper presents a comprehensive approach which links technological developments in the transport sector in Europe to the objectives of the most recent policy developments, in particular, the 2020 European Sustainable and Smart Mobility Strategy. It does so by identifying and evaluating technologies from European Union-funded projects between 2007 and 2020, by means of a technology taxonomy. Information is provided at an aggregated level on funding characteristics of both projects and the technologies, while at the same time, the level of maturity of researched technologies in the most recent projects is identified. This study can aid policy makers to support the future development of transport technologies as part of pertinent policy strategies and identify research gaps.

Waterborne transport contributes to around 14% of the overall greenhouse gas emissions of transport in the European Union and it is among the most efficient modes of transport. Nonetheless, considering the aim of making the European Union carbon-neutral by 2050 and the fundamental role of waterborne transport within the European economy, effort is needed to reduce its environmental impact. This paper provides an assessment of research and innovation measures aiming at decreasing waterborne transport’s CO₂ emissions by assessing European projects based on the European Commission’s Transport Research and Innovation Monitoring and Information System (TRIMIS). Additionally, it provides an outlook of the evolution of scientific publications and intellectual property activity in the area. The review of project findings suggests that there is no single measure which can be considered as a problem solver in the area of the reduction of waterborne CO₂ emissions, and only the combination of different innovations should enable reaching this goal. The highlighted potential innovations include further development of lightweight composite materials, innovative hull repair methods, wind assisted propulsion, engine efficiency, waste heat electrification, hydrogen and alternative fuels. The assessment shows prevalence of funding allocated to technological measures; however, non-technological ones, like improved vessel navigation and allocation systems, also show a great potential for the reduction of CO₂ emissions and reduction of negative environmental impacts of waterborne transport.

This paper presents an artificial neural network (ANN) model that simulates user’s choice of electric or internal combustion engine automotive vehicles based on basic vehicle attributes (purchase price, range, operating cost, taxes due to emissions, time to refuel/recharge and vehicle price depreciation), with the objective of analyzing user behavior and creating a model that can be used to support policymaking. The ANN was trained using stated preference data from a survey carried out in six European countries, taking into account petrol, diesel and battery electric automotive vehicle attributes. Model results show that the electric vehicle parameters (especially purchase cost, range and recharge times), as well as the purchase cost of internal combustion engine vehicles, have the most influence on consumers’ vehicle choices. A graphical interface was created for the model, to make it easier to understand the interactions between different attributes and their impacts on consumer choices and thus help policy decisions.

This paper discusses the use of optical fiber Bragg grating (FBG) and piezo strain sensors for structural dynamic measurements. For certain industrial applications, there is an interest to use strain sensors rather than in combination with accelerometers for experimental modal analysis. Classical electrical strain gauges can be used hereto, but other types of strain sensors are an interesting alternative with some very specific advantages. This work gives an overview of two types of dynamic strain sensors, applied to two industrial applications (a helicopter main rotor blade and an F-16 aircraft), FBG sensors and dynamic piezo strain sensors, discussing their use and benefits. Moreover, the concept of strain modal analysis is introduced and it is shown how it can be beneficial to apply strain measurements to experimental modal analysis. Finally, experimental results for the two applications are shown, with an experimental modal analysis carried out on the helicopter main rotor blade using FBG sensors and a similar experiment is done with the aircraft but using piezo strain sensors instead.