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The ISi-PADAS Project—Human Modelling and Simulation to support Human Error Risk Analysis of Partially Autonomous Driver Assistance Systems

  • P. Carlo Cacciabue
  • Mark Vollrath
Conference paper

Abstract

Background

The objective of this paper is to discuss the goals and scope of the EU project ISi-PADAS, its theoretical backgrounds and assumptions and the principal results achieved to date. Models of driver behaviour and of Joint Driver- Vehicle-Environments (JDVE) systems, as well as “classical” reliability analysis methods, represent the starting points of the proposed research plan.

Methods

The main aim of this Project is to support the design and safety assessment of new generations of assistance systems. In particular, the development of autonomous actions is proposed, based on driver models able to predict performances and reaction time, so as to anticipate potential incidental conditions. To achieve this objective two main integrated lines of development are proposed: (1) an improved risk based design approach, able to account for a variety of human inadequate performances at different levels of cognition, and (2) the development of a set of models for predicting correct and inadequate behaviour.

Discussion

This paper shows that different kinds of JDVE models and evolutionary risk analysis approaches are required to achieve the goals of the Project. Possible solutions are presented and discussed. In addition, a methodological framework is introduced that is capable to accommodate different types of models and methods while maintaining the same safety and risk assessment objectives.

Keywords

Driver modelling Driver Assistance Systems Risk Based Design Human Reliability Assessment Cognitive modelling 

Notes

Acknowledgment

The authors would like to thank all the Partners of ISi-PADAS for their motivated and continuous work of research, carried out patiently and with enthusiasm by everyone in the first two years of collaboration. Without this support we would not have been able to report and discuss about such a remarkable achievement made so far by the ISi-PADAS team.

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Copyright information

© Springer-Verlag Italia Srl 2011

Authors and Affiliations

  1. 1.KITE SolutionsLaveno MombelloItaly
  2. 2.Technische Universität Braunschweig, Ingenieur- und VerkehrspsychologieBraunschweigGermany

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