AIT Austrian Institute of Technology, Vienna
March 11, 2016, 12:15, Room GC B3 30 (click here for the map)
Microscopic simulation models are used in many applications for predicting pedestrian flows with high granularity. Current simulators do not allow for easy and quick switching between models. Moreover, reliable human movement data is still sparse, which is a prerequisite for model calibration and validation. These shortcomings inhibit to evaluate the capabilities of different models. This talk presents a unified framework for the structured investigation on strengths and weaknesses of microscopic pedestrian simulation models. The empirical baseline is a highly accurate benchmark data set measured under real life conditions in a bidirectional corridor with a novel data collection approach using the Microsoft Kinect. The proposed simulation framework is built on a scalable and flexible system architecture to easily integrate different models. The results highlight individual capabilities of seven different modeling approaches to represent microscopic and macroscopic characteristics of human movement behavior.