ISi-PADAS Integrated Human Modelling and Simulation to support Human Error Analysis of Partially Autonomous Driver Assisatance Systems

The main objective of the ISi-PADAS project is to provide an innovative methodology to support risk based design and approval of Partially Autonomous Driver Assistance Systems (PADAS) focusing on elimination and mitigation of driver errors by an integrated Driver-Vehicle-Environment modelling approach. The methodology contributes to (1) halving the number of road fatalities by 2010 (respect to 2001 levels) and reducing number and severity of injuries caused by road accidents and to

(2) decreasing the level of human error. These targets will be achieved through research and technology development in: (1) improved risk based design: implementation of a human error risk based approach for designing advanced control systems, such as PADAS; (2) advanced driver modelling: development of models for predicting correct and erroneous driver behaviour, based on modern approaches and algorithms, capable of capturing the key aspects of human behaviour, and retaining the fundamental characteristics of cognition and decision making; (3) Joined Driver-Vehicle-Environment Simulation Platform: integration of the driver models into a Driver-Vehicle-Environment computerised, fast running, and simple simulation tool for predicting driver behavior and driver errors to be integrated in a risk based approach; (4) new knowledge about driver behavior including errors: extensive empirical studies and experiments with human drivers in real cars and car simulators will lead to new insights in sources of accidents and potential counter measures as a basis for the driver model development. A target system will be developed to demonstrate the advantage of the new risk based design methodology with regard to an improved system design, a highly effective human error risk assessment and, consequently, an increased traffic safety.


External Leader

Dr. Andreas Lüdtke
Results on risk-based design and driver modelling from the two european projects: ISi-PADAS and ITERATE

Lüdtke, Andreas and Tango, Fabio and Hjälmdahl, Magnus; Journal Transportation Research Part F: Traffic Psychology and Behaviour.; 2013

The learning of longitudinal human driving behavior and driver assistance strategies

Eilers, Mark and Möbus, Claus and Tango, Fabio and Pietquin, Olivier; Transportation Research Part F: Psychology and Behaviour; 2013

Application of Simulation Based Risk Assessment for Driver Assistance Systems Development

Cassani, Mirella and Alsen, Jens and Wortelen, Bertram; Human Modelling in Assisted Transportation; 001 / 2011

Learning the Human Longitudinal Control Behavior with a Modular Hierarchical Bayesian Mixture-of-Behaviors Model

Eilers, Mark and Möbus, Claus; 2011 IEEE Intelligent Vehicles Symposium (IV 2011); 006 / 2011

The influence of predictability and frequency of events on the gaze behaviour while driving

Kaul, Robert and Baumann, Martin and Wortelen, Bertram; Human Modelling in Assisted Transportation; 001 / 2011

Einfluss von Vorhersehbarkeit und Häufigkeit von Ereignissen auf das Blickverhalten beim Autofahren

Kaul, Robert and Baumann, Martin and Wortelen, Bertram; Beiträge zur 52. Tagung experimentell arbeitender Psychologen; 003 / 2010

Integrated Human Modelling and Simulation to support Human Error Risk Analysis of Partially Autonomous Driver Assistance Systems

Baumann, M., Tango, F., Cacciabue, C., Schindler, J., Lüdtke, A., Heers, R., Alsen, J.; Proceedings of the 3rd Transportation Research Arena (TRA); 006 / 2010

Modelling Aspects of Longitudinal Control in an Integrated Driver Model - Detection and Prediction of Forced Decisions and Visual Attention Allocation at Varying Event Frequencies

Wortelen, Bertram and Zilinski, Malte and Baumann, Martin and Muhrer, Elke and Vollrath, Mark and Eilers, Mark and Lüdtke, Andreas and Möbus, Claus; Proceedings of Human Modelling in Assisted Transportation (HMAT); 006 / 2010

Ablauffähige Modellierung des Einflusses von Ereignishäufigkeiten auf die Aufmerksamkeitsverteilung von Autofahrern

Wortelen, Bertram and Lüdtke, Andreas; Fortschritt-Berichte VDI, Reihe 21, Nr.29; 10 / 2009

CEA Commissariat à l'Énergie Atomique et aux Énergies Alternatives
Cidaut Foundation
CRF - Centro Ricerche Fiat S.C.p.A.
Deutsches Zentrum für Luft- und Raumfahrt e.V.
Institut national de recherche sur les transports et leur sécurité (INRETS)
KITE Solutions S.r.l.
École Supérieure d’Électricité (Supélec)
Università degli Studi di Modena e Reggio Emilia
TU Braunschweig


Start: 31.08.2008
End: 27.08.2011