Projects and initiatives

Funded projects

→ MAMBA (FNR CORE program) – SnT/University of Luxembourg

mamba_logo_4 The MAMBA (MultimodAl MoBility Assistance) project intends to propose and validate a multimodal mobility platform that relies on new Internet technologies to interconnect different mobile services with the aim of providing relevant travel advice based on users’ contexts, so as to optimize overall system performance. Taking into account real time traffic conditions, the status of existing public transport services (e.g., buses, trains) and user preferences, a personalised travel assistant will proactively suggest the best transportation possibility to reach a desired destination while also balancing the load over the different transportation modes in the multimodal system.

More information and updates available on the project website.

→ eGlasses (EC funding, CHIST-ERA program) – SnT/University of Luxembourg

eglasses The eGlasses project is focused on the development of an open platform in the form of multisensory electronic glasses and on the integration and designing of new intelligent interaction methods using the eGlasses platform. This is an initial development focused on long-term research and technological innovation in perceptual and super-perceptual (e.g. heart rate, temperature) computing. It is an emerging technology that is also focused on the creation of mobile, perceptual media. Perceptual media refers to multimedia devices with added perceptual user interface capabilities. These devices integrate human-like perceptual awareness of the environment, with the ability to respond appropriately. This can be achieved by using automatic perception of an object’s properties and delivering information about the object’s status as a result of reasoning operations.

More information and updates available on the project website.

→ MaDSAV (Bi-lateral funding program, FNR – Luxembourg & FWF – Austria) – SnT/University of Luxembourg

MadSAVSemi-Autonomous Vehicles present a major challenge for drivers, namely the risk that their driving skills will decline. The problem is further compounded by the fact that while the number of semi-autonomous vehicles will increase there will fore the forseable future still remain a large number of vehicles with no or little autonomous control.

This combination of the decline in driving skills plus the complicated mix of vehicles on the road will raise a number of safety challenges. For example, drivers of semi-autonomous vehicles may be forced to take control under certain circumstances but may not possess the skills which would enable them to react quickly enough or to take the right decision. Also they will not be able to rely on other vehicles taking the right course of action. As a result there needs to be methods employed which can encourage people to maintain there driving skills which are turned to the needs of particular drivers. This project will specifically explore how to profile driver performance and the development of tools which will focus on safe driving within semi-autonomous vehicles.

More information and updates available on the project website.

→ MOTION (industrial project) – SnT/University of Luxembourg

In order to understand individual mobility on a countrywide scale, it is important to rely on large-scale mobility datasets. Suitable datasets that would allow such an analysis are Call Detail Records (CDR) that are available at mobile phone operators. CDRs provide details on incoming and outgoing calls with the main goal of building network usage reports. The MOTION project plans to extend the usage of CDR to study individual mobility. It is clear that before the data can be made available, all privacy-related information must be removed. The resulting anonymised dataset will provide important information on how people move from one cellular base station to another.

More information and updates available on the VehicularLab website.


Notable initiatives & activities

→ VehicularLab & Vehicular Simulation Lab – SnT/University of Luxembourg

Driving SimulatorThe VehicularLab team was set up within the Secan-Lab group (Prof Thomas Engel), with one overriding interest: the study and design of intelligent transport systems and, more generally, vehicular-based systems that promise many future opportunities. More specifically, one of the topics of interest is the study of driver behaviour. Although today’s means of transport are defined in a broad but nevertheless delimited field of action, the way in which people move or apprehend a situation arises from characteristics that remain personal. The ability to model driving style to the same level as the modelling of all the decision-making factors taken by a driver remains a topic of great interest, both in the research community and in industry. At a time when car manufacturers are increasingly looking for personal systems, we believe that modelling and studying these aspects makes sense, and deserves more than just a survey. Thus, the Vehicular Simulation Lab has been created for the purpose of reproducing and studying these characteristic phenomena in an experimental way.

Driving Simulator Prime Minister
Xavier Bettel, Prime Minister of Luxembourg
This environment consists of several specific elements. Firstly, a driving simulator equipped with a cockpit and a movement platform, simulating acceleration, braking and steering taken by the driver. Then, a set of smart devices (e.g. phones, watches, glasses) to equip users with sensors close to the body. On the visual side, the driving environment can be simulated in two different ways: one employing traditional screens covering a large proportion of the user’s field of vision, and the other using the more immersive, realistic approach of virtual reality.

These systems can also lead to topics related to energy consumption, safety, autonomous or semi-assisted driving, and more generally to experimentation – this environment being a good intermediary between purely numerical simulations and real deployment.

→ Event: Workshop on Smart Mobility – SnT/University of Luxembourg

Driving Simulator

Human mobility comes with an incredible number of challenges, and this at a time when science and industry are presenting us with ever more dazzling innovations. Big data, communication networks, and internet of things are just some of the concepts currently revolutionising the way we think about our daily mobility and opening up the door to countless possibilities for new services and radical solutions – not least in the area of intelligent transportation systems.

In this context, the University of Luxembourg organised a Workshop on Smart Mobility aimed at bringing together European actors from both industry and academia with shared interests in transportation and related topics.

More information and updates available on the VehicularLab website.

→ Creative achievements

More information and updates available here.