ABSTRACT
This chapter describes a methodology that policymakers can use to overcome the uncertainties that hinder Intelligent Transport System (ITS) implementation and that can enable them to start to implement ITS despite these uncertainties and the inherently uncertain future. It explains how Adaptive Policymaking (APM) can be used to deal with uncertainty regarding acceptance. This chapter illustrates how to use APM to design adaptive policies using two real-world ITS examples. One based on desk research, the other based on participative research. APM specifies a series of generic steps for decision-making under uncertainty that can be used to design an adaptive policy. The potential of APM has been demonstrated by various researchers using transportation cases that reflect real-world policy problems. ITS is highly promising when it comes to achieving transportation policy goals. A lot of research has been performed on Intelligent Speed Adaptation and Personal Intelligent Travel Assistance acceptance.
