Modelling driver behaviour on basis of emotions and feelings: Intelligent transport systems and behavioural adaptations

Abstract

Intelligent transport system (ITS) is a generic concept, which covers a wide range of systems. In this context the concept is applied on automotive systems and comprises systems generally defined as (advanced) driver assistance systems (ADAS/DAS), in-vehicle information systems (IVIS) and roadside telematics (RT). The present text focuses on anti-locking brake systems (ABS), which is used as an illustrative example of an ITS, mainly because evaluation studies have shown unintended effects that call for explanations. ABS, which aims to maintain the steering capacity during (heavy) braking by preventing the wheels from locking, is considered a driver assistance system (DAS). ABS has become an increasingly standard equipment of new car makes and has been around for more than 20 years. Several studies have evaluated the effects of ABS on behaviour and accidents and the system is a case of special interest for several reasons: One is the demonstration of risk compensation associated with ABS and other reasons are contra-intuitive and even detrimental effects on traffic safety. With ABS as an illustrative example, several key issues can be discussed when considering ITS in a more generic sense. Further, to better understand and predict effects of ITS, a theoretical driver behaviour model based on emotions and feelings is presented. Behavioural adaptation and risk compensation are regarded as core problems, which have to be addressed in terms of traffic safety. One of the very aims of the proposed driver behaviour model is to explain and predict risk compensation that might be associated with a given ITS. © 2007 Springer-Verlag London.