Inferring ITS impacts in different user cases

Despite the widely acknowledged potential of ITS, the deployment of ITS has generally been scattered and slow. One of the main reasons for this is that people deciding on investments in the road and public transport sector often lack knowledge of the feasibility, cost-effectiveness and user acceptance of ITS solutions to their own transport related problems. One solution is to build up an intelligent ITS toolkit, which would propose the decision maker the most viable ITS solutions to his problems in his context. The paper describes how such a toolkit has been designed and developed, and the knowledge base and inference engine providing the intelligence to that toolkit. The paper is focusing on how to infer the most likely impacts and benefit/cost on the basis of existing ITS evaluations studies and the available assessment expertise in the specific user contexts