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.
Professional Summary
Meng is a Human Factors researcher with a background in psychology, focusing on translating multi-modal data into insights. He investigates human behavior and interaction in traffic systems and has experience designing and conducting user studies that combine behavioral data (e.g., fleet data and eye tracking), physiological data, and qualitative data to understand emotion, intention, and safety in traffic contexts. He is skilled in data analysis, statistics, machine learning, and data visualization using R and Python.
Education
Psychology Dr. rer. nat.
Technical University of Braunschweig
Human Factors M.S.
Technical University of Berlin
Psychology B.S.
East China Normal University
Interests
User Study
Road Safety Research
Data Analysis
UX
Selected Publications
The Novelty Appraisal of the Feeling of Risk in Vehicles
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 …
Laura Quante
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Selected Projects
BVG-Bus Tracker
Real-time Bus Tracking Map (Leaflet + BVG API) This project is a lightweight, mobile-friendly web page that displays real-time locations of selected bus lines using the BVG / VBB …
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 …