Maria Alonso

A Reinforcement Learning Approach for Designing and Optimizing Interaction Strategies for a Human–Machine Interface of a PADAS

The FP7 EU project ISi-PADAS (Integrated Human Modelling and Simulation to support Human Error Risk Analysis of Partially Autonomous Driver Assistance Systems) endeavours to conceive an intelligent system called PADAS (Partially Autonomous Driver Assistance System) for aiding human drivers in driving safely by providing them with pertinent and accurate information in real time about the external situation and by acting as a co-pilot in emergency conditions. The system interacts with the driver through a Human–Machine Interface (HMI) installed on the vehicle using an adequate Warning and Intervention Strategy (WIS). In this paper, the design of the PADAS HMI as well as a decision-theoretic approach for deriving an optimal WIS are described.

Simulation Study for Driver Behaviour Analysis as a Basis for the Design of a Partially Autonomous Driver Assistance System

This paper is presenting a driver behaviour investigation conducted within the framework of ISi-PADAS (Integrated Human Modelling and Simulation to support Human Error Risk Analysis of Partially Autonomous Driver Assistance Systems) FP7 European Project (September 2008–September 2011). This research has been developed at an initial phase of the project to support the conception of a new driver assistance system, aimed at improving longitudinal driving by means of information, warning and intervention strategies. In this research, the contribution to the system conception is based on providing a knowledge base of driver behaviour through the conduction of simulator experiments. In particular, this paper is aimed at providing a thorough description of the rationale behind the investigation, as well as at describing the methodology and the procedure used for the experiments conduction. Moreover, the main results achieved through this research and how these results are linked to the modelling phase inside the ISi-PADAS project, are covered within this paper.