Sustainable and Citizen-Centric Mobility as a Service (MaaS). Smart cities are conceptualized primarily as cities supported by information and communication technologies. However, they are also considered sustainable, inclusive, and citizen-centric cities that focus on developing innovative technologies and services that enable their inhabitants' well-being and quality of life, in consonance with environmental preservation. In this context, smart urban mobility is one of the most promising sectors of the smart city since, with the help of services like Mobility as a Service (MaaS), the commute of citizens is made easier and optimized, reducing travel time and greenhouse gas emissions emitted by combustion-powered vehicles. MaaS is a platform that integrates multiple public and private transportation modes and services to provide the best possible door-to-door travel experience for citizens by combining trip planning, booking, and payment. However, for MaaS to work seamlessly and with the coordination of all public and private actors, it is necessary to investigate all layers of this system and the process of adapting it to the various characteristics of the city where the platform will be established. It is believed that the best way to investigate and design a MaaS platform is by a human-centered design approach, using co-creation and co-production techniques with multiple actors. Several European Union studies have demonstrated the effectiveness of working with citizen participation under the CIVITAS program on intelligent and sustainable mobility. Thus, considering this approach, an exploratory and experimental investigation of the MaaS concept is proposed, in the development of a platform, from the point of view of the citizen, the actors involved in the cities that compose the Metropolitan Region of Rio de Janeiro (RMRJ), and sustainability.

This research aims at establishing design requirements and recommendations for citizen-centered products and services for urban mobility in Smart Cities. Considering the increase in urban population and technological advances in intelligent systems such as Machine Learning and the Internet of Things (IoT), new solutions are needed and will be given so that citizens can seamlessly travel through cities in a sustainable way that meets their needs. In this context, it is intended to identify with citizens their needs and desires concerning the future of urban mobility and, with them, elaborate future scenarios and propose innovative solutions that meet their requirements and those of a smart and sustainable city. The results of this research will enable identifying possible user journeys, the specification of service blueprints, the proposition of citizen-centered products and services, as well as indications for the definition of public policies for urban mobility.

This project deals with the communication issue of the transition of control in automated vehicles in conditional driving systems (SAE level 3 of automation). In this context, the driver's role can be considered an intermediate state between active and passive, as the automated system may present some operation design limitations due to its sensors or route problems, among other issues, and the driver might take over the vehicle control. The problem inherent in the transition of control of the automated vehicle to the driver is that removing the human individual from the decision making and motor control loops may compromise the driver's performance, and consequently, their ability to take over the vehicle control in time to avoid accidents. To mitigate this issue, the driver needs to receive information such as system status and take over request (TOR) warning, for instance, at the right time and through the right channel, especially when there is a system failure. Therefore, this research aims to identify which human-machine interface (HMI) solutions are best suited to inform system status and TOR in automated vehicles so that the driver can monitor and promptly recognize the state of the automated system and avoid accidents.