%0 Electronic Article %A T. Vaa %A M. Penttinen %A I. Spyropoulou %K antilocking brake systems %K surrogate method %K in-vehicle data-collection systems %K road traffic accidents %K proxy method %K in-vehicle information systems %K electronic stability control %K intelligent transport systems %K road telematics %K compensation mechanisms %K meta-analysis %K advanced driver assistance systems %K IT systems %X The results from several reviews have been presented and the aspects of road safety associated with intelligent transport systems (ITS) applications have been addressed. The attempt is to make a state-of-the-art regarding effects on accidents by categorising systems according to levels of evaluations methods that have been applied. These categories are effects on behaviour, effects on accidents by proxy/surrogate methods, accident studies from real traffic, effects on accident types and finally by meta-analysis where weighted estimates of effects on accidents can be calculated. Thirty-three IT systems including driver assistance systems/advanced driver assistance systems, in-vehicle information systems, in-vehicle data-collection systems and road telematics have been listed. Effects based on meta-analysis are estimated for 11 systems, and single accident studies are found for an additional 2 systems. For the remaining 20 systems, no studies from real road traffic have been identified. Effects on accidents of antilocking brake systems and electronic stability control (ESC) are presented in more detail according to their effects on certain accident types. ESC appears to be very efficient in reducing the number of accidents. Behavioural adaptations to ITS are considered and discussed, especially in terms of compensation mechanisms. Four hypotheses regarding prediction of effects on accidents are stated according to whether systems increase or decrease ‘windows of opportunities’ by calling upon a driver behaviour model where emotions play a central role. %@ 1751-956X %T Intelligent transport systems and effects on road traffic accidents: state of the art %B IET Intelligent Transport Systems %D June 2007 %V 1 %N 2 %P 81-88 %I Institution of Engineering and Technology %U https://digital-library.theiet.org/;jsessionid=2dw6c1168prt4.x-iet-live-01content/journals/10.1049/iet-its_20060081 %G EN