Much R&D in traffic and transport is focused on an increasing variety of Advanced Driver Assistance Systems (ADAS), to be introduced in road traffic. These systems involve the assistance and/or automation of various basic driving tasks (vehicle following, lane keeping, lane changing, proper speed keeping) based on modern technology for sensing, data processing, data transmission, operational decision making and task actuation. The full and integrated application of these systems might lead to the full automation of motor vehicle driving. Research indicates a lack of sufficient conceptual and empirical knowledge about driver behaviour. Improvement of this knowledge is necessary to develop efficient and effective driver assistance systems. Moreover, better knowledge helps to improve the evaluation of the performance of these systems, the necessary certification and the arrangement of liability for system development, system application and system failure. The present program aims at: improving the theoretical, empirical and design knowledge regarding road vehicle driver behaviour in interaction with advanced driver assistance systems; the transfer of this knowledge to deployment strategies for these systems focusing on infrastructure design and traffic management; the improvement of the knowledge regarding system certification and liability regulation in a multi-actor environment. (Author/publisher)
Abstract