Research

This project investigates the effectiveness of ground-projected traffic signals for pedestrians (SafeLight) at signal-controlled junctions. The aim is to analyse the system’s influence on pedestrians’ crossing behaviour and attention, as well as on their subjective perception of road safety. To this end, the SafeLight system will be installed at a selected junction and evaluated using a before-and-after study design. The analysis is based on video recordings of the crossing area that comply with data protection regulations, using which behavioural parameters such as compliance with red lights, reaction times when signal phases change, head movements, smartphone use and safety-critical interactions with traffic are systematically coded. In addition, short standardised surveys of pedestrians are conducted to capture subjective perceptions regarding visibility, clarity and perceived safety. Combining objective behavioural data with subjective assessments enables a comprehensive evaluation of the effectiveness and potential of ground-projected traffic signals as a road safety measure. The findings provide a basis for transport planning decisions regarding the future implementation of innovative traffic signal concepts for pedestrian traffic.

The im of the research is to ensure that the methodological approach meets the required quality standards in accordance with scientific principles, so that the revised SUPerNOVa 2.0 traffic model is optimally suited for future applications. To this end, it is planned to build on the principles of the guidelines “Quality assurance of traffic models” (RVS 02.01.31), which is currently being drafted, and to develop and apply indicators for quality assessment.

SAGE-Vienna investigates how the built environment supports spatial learning and memory in older adults, with the goal of informing inclusive and equitable urban design. SAGE-Vienna focuses on the identification of the moment when older adults switch from learning a new route (so-called encoding) to recalling it (so-called retrieval) and on measuring how greenery and landmarks influence the speed of that transition as well as general well-being of elderly. In a three-phase outdoor study in Vienna, older adults repeatedly walk a predefined route while wearing portable sensors (Electroencephalography (EEG), Heart Rate Variability (HRV), Galvanic Skin Response (GSR) and eye-tracking). The participants first follow guided instructions, then repeat the route with minimal help and finally walk it independently while logging recognized landmarks. By comparing physiological signals across these stages, the project aims at detecting when memory takes over and how the built environment affects stress and learning. The results produce actionable thresholds (e.g., minimum green cover or landmark distinctiveness) and equity-adjusted recommendations for age-friendly urban planning. SAGE-Vienna contributes to SDG 3 (health), SDG 10 (reduced inequalities), and SDG 11 (sustainable cities), while supporting Vienna’s Smart Climate City Strategy and Vision Österreich 2050.