Today, the main focus of research is studying car-following dynamics on the basis of the highD dataset.
Speech: Modelling tools in RITM³ - PTV Visum, SUMO, MATSim
At the moment, the most exciting models for research are regime selection models based on machine learning techniques and their combination with the classical econometric approach, algorithms for finding hybrid transport equilibrium, and methods for calibrating agent-based models using data from detectors.
The current study explores approaches to micro-model calibration using vehicle trajectory data, the effects associated with spatial anticipation, and different types of variability in driver behavior.
SIMETRA often attends Russian and international research conferences like the Transportation Research Board (TRB) and Transport Planning and Modelling (TPM) to present the recent progress in our research work.