i4Driving – Integrated 4D driver modelling under uncertainty

Project Description

The overarching objective is to deliver a new library of credible models of heterogeneous human driver behaviors which provides a human road safety baseline for CCAM virtual assessment. A new library means a combination of models, suitable and valid for both scenario-based and traffic-based safety assessment, which bring the heterogeneity and complexity of the road traffic system into simulation. Adding sufficient heterogeneity does justice to the diversity of human driving behaviors and drives the occurrence of both “uncritical” and safety critical situations in daily traffic. Sufficient system complexity is needed to make a robust and meaningful analysis of road safety.

TUM is involved with our chair as well as the Chair of Ergonomics and the Professorship for Cyber-Physical Systems.

Tasks of the Chair

TUM-VT is mainly involved in the simulator studies and field experiments:

• Simulator studies:
  To investigate hypotheses and the variance of human driving behavior in different situations, considering gender, age, driving experience, and other factors in different critical scenarios (i.e., combinations of different driver types, use cases, and road environment conditions). Investigate the extent to which a model of human driver behavior is perceived as an actual human driver in a driving simulation environment.
• Test field experiments:
  The goal is to collect data on human driver behavior in a realistic environment. The first phase is to collect data necessary for the development of the model itself (especially on the effects of parameters describing the complexity of the driving task). This means that various hypotheses and assumptions will be tested before they are incorporated into the model. Second, after model development, further testing is performed as part of the model calibration and validation process.