Intelligent transportation systems have a high potential to optimise traffic flow, to increase road traffic safety and to reduce environmental pollution. Real Time Traffic Information (RTTI) systems help to achieve these targets. Beside verbal radio announcements the most used RTTI service is the Traffic Message Channel (TMC) as a part of the Radio Data System (RDS). TMC messages support drivers in their choice of efficient routes or prepare them to cope with situations on the route ahead. The main focus of the paper is on the quality of TMC messages in Germany. After a brief overview of RTTI stakeholders in Germany and their role in the German public traffic information chain the follwoing literature analysis summarizes the state-of-the-art on traffic information quality. Then the paper gives an overview about methodology and first results of an ongoing project on traffic information quality that has been initiated by the Bundesanstalt fuer Strassenwesen (BASt, German Federal Highway Research Institute) in 2008. The paper describes a concept how to check all processing iterations of the traffic information chain and occurring failures. A cause-effect-analysis forms the basis of this concept to get an idea which reasons (= process) lead to which measurable effect (= quality indicator). The paper demonstrates the principle with the pre-process of the Location Code List (LCL), which is the major basis for message coding since the LCL describes all locations that can be named in a TMC message.
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