Today, intelligent transport systems, especially systems that may assist the driver like Advanced Driver Assistance Systems (ADAS), present a high potential for the improvement of road safety and traffic capacity, as well as for the attenuation of traffic related environmental load. The EC co-funded ADVISORS research project dealt with the development of a comprehensive framework for the analysis, assessment and prediction of the implications of a range of ADAS, as well as with the development of implementation strategies for ADAS, which are expected to have a large positive impact on safety, traffic capacity and the environment. On this purpose, an integrated methodology, called Common Assessment Methodology (CAM) was developed and implemented. The main steps of this Common Assessment Methodology concerned identification of ADAS for evaluation; risk analysis; actor/stakeholder analysis; identification of criteria and appropriate weights; “operationalisation” by identifying specific indicators; overall analysis; ranking; and development of implementation strategies. In this paper, the Common Assessment Methodology is presented, its application within the ADVISORS project is demonstrated and the main findings are outlined, leading to useful input for the further development and implementation of Advanced Driver Assistance Systems.
|Tags||intelligent systems, traffic management, vehicle|