Quantifying transmission risks of SARS-CoV-2 in pedestrian interactions at large events

The COVID-19 global pandemic has a great negative influence on the event industry. Decreasing number of festivals poses threats to cultural and economical development. This research aims to close this research gap by developing a SARS-CoV-2 transmission risk analysis method for large events by modelling crowd interactions at different types of...

Forecasting tourist counts with historical counts and external features

This research explored two types of models, ARIMA and multiple linear regression, for forecasting tourist counts in 7 locations around Amsterdam red light district, for the prediction horizon of up to 30 minutes.

Driver-centered Human-machine interface design: Design for a better takeover experience in level 4 automated driving

Technological advances have led to the development of autonomous driving. The SAE (Society of Automotive Engineers) defined five automation levels in order to differentiate the responsibilities between the driver and an automated driving system, ranging from “No Automation” (L0), to “Conditional Automation” (L3) and “Full Automation” (L5). The...