Do cyclists disregard ‘priority-to-the-right’ more often than motorists?
Cooperative behaviors among road users, such as predicting and compensating for another road user’s mistakes, were investigated.
Berufliches Profil
Meng ist Human-Factors-Forscher mit psychologischem Hintergrund und dem Schwerpunkt, multimodale Daten in verwertbare Erkenntnisse zu ubersetzen. Er untersucht menschliches Verhalten und Interaktionen in Verkehrssystemen und verfugt uber Erfahrung in der Konzeption und Durchfuhrung von Nutzerstudien, die Verhaltensdaten, physiologische Daten und qualitative Daten kombinieren, um Emotionen, Intentionen und Sicherheit im Verkehrskontext zu verstehen. Er ist erfahren in Datenanalyse, Statistik, maschinellem Lernen und Datenvisualisierung mit R und Python.
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Psychologie Dr. rer. nat.
Technische Universitat Braunschweig
Human Factors M.S.
Technische Universitat Berlin
Psychologie B.S.
East China Normal University
Interessen
Nutzerstudien
Verkehrssicherheitsforschung
Datenanalyse
UX
Ausgewählte Publikationen
Bringing Emotion Theory into the Cockpit
Physiological and facial indicators of novelty appraisal were linked to the feeling of risk in vehicle occupants, providing insights for developing affect-aware systems that help …
Human Performance in Critical Scenarios as a Benchmark for Highly Automated Vehicles
A scenario-based method was introduced to quantify human driving performance limits, providing a benchmark to compare and validate the safety performance of highly automated …
Ausgewählte Projekte
Berlin Transit Live Monitor
A modern, responsive web dashboard designed for real-time monitoring of public transport departures in Berlin. This tool provides a comprehensive view of transit movements, …
Modeling Human-Like Interaction Between Cyclists and Vehicles
The proposed model quantitatively captures the interaction between crossing bicycles and right-turning vehicles, enabling a more realistic simulation of tactical decision-making in …
How Can Driver Emotions Be Quantified?
Understanding driver emotions is essential for improving road safety and in-vehicle assistance systems. One promising approach is using facial expressions captured and analyzed …