Projects
Flexible bus services for smart cities KU Leuven
Frustration is a common emotion among regular bus users, as bus transport tends to be slow, inefficient, and inflexible. Typically, a bus service (i.e., a set of bus routes and timetables) remains the same throughout the day, even when the demand for bus transport varies considerably over time. The main reason for this inflexibility was that, until very recently, public bus operators had no way of knowing the demand for transportation at any ...
Smart labels for flooding as a tool for more water resilient cities. Ghent University
A smart tool for governance towards flood-resilient cities.
Making small cities less dependent of subsidies: an integrated assessment of urban green infrastructure to support the development of functional business models. University of Antwerp
Eringing nature back — biodiversity-friendly nature-based solutions in cities (BiNatUr). University of Antwerp
Smart city Privacy: Enhancing Collaborative Transparency in the Regulatory Ecosystem (SPECTRE). KU Leuven
We are confronted with two overlapping challenges in the smart city ecosystem: privacy concerns and their economic impact. First, data protection principles such as data minimisation, purpose limitation and transparency are under pressure in smart city environments. Second, reliance on private actors for the implementation of Smart city services may facilitate vendor lock-in and market concentrations.
The General Data Protection ...
Polyline: A Smart Energy Chain Testing Infrastructure. KU Leuven
Location-secured cryptographic solutions based on acoustic signals for smart embedded connected systems and passive nodes KU Leuven
Connected devices are creating a smart world: smart homes, hospitals, and cities, smart cars, logistics and industries. The success of new applications employing wireless devices will heavily depend on the security of these embedded systems. The geographical position of persons and devices can be very relevant information in many applications requiring secure authentication over wireless links. For example, contactless payment solutions and ...
Hybrid machine learning with BIM for energy optimization and dweller well-being in smart buildings Ghent University
Residential and commercial buildings consume 40% of the total energy, 70% of the total electricity and are responsible for 41% of the greenhouse gas emissions. Therefore, it is important to eliminate any energy wastage in buildings. The dwellers of these buildings, i.e. the knowledge workers, spend 86% of their time indoors, so this building environment has a large impact on their well-being. The management of these buildings is today done by ...