Adaptive Planning for Dealing with Uncertainty in Implementing Advanced Driver Assistance Systems

Abstract

Much has been written about the technologies of advanced driver assistance systems (ADAS)—electronic systems that support drivers in controlling their vehicles. Within this literature, the focus is usually on specific ADAS technologies and aspects of ADAS implementation. Broader pictures of ADAS implementation, in which the various ADASs, their possible consequences for transportation-system performance, and societal conditions for implementation are treated in an integrated way, are seldom presented. As such, the current value of these studies is highly limited with regard to public policymaking. In addition, full-scale implementation of ADAS is limited by uncertainties about its performance and driver acceptance. A flexible or adaptive policy is proposed that takes some actions right away and creates a framework for future actions that allow for adaptations over time as knowledge about the performance and acceptance of ADAS accumulates and critical events for ADAS implementation take place. The adaptive approach is illustrated in the context of ADAS for road-traffic efficiency.