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According to an investigation in March 2008 by the Federal Ministry of Transport, Building and Urban Affairs (BMVBS) about 14,000 truck parking spaces are missing in the near of motorways in Germany. Beside constructional enlargement of rest areas, intelligent traffic systems ought to be used to detect automatically the occupancy rate of rest areas and to provide better demand management and also to achieve an increase of capacity of truck parking spaces. The essay describes the newly developed control procedure "Compact parking", which is currently under development by German Federal Highway Research Institute (BASt). The method achieves that a number of trucks are parking in a compact way, side by side and without a driving lane between them. With the help of dynamic displays above the parking rows, the drivers receive the needful information to park their vehicle in a parking row, in which other trucks have the same or an earlier departure time. This system is able to increase the rest area capacity in short-term, more quickly than constructional enlargement of rest areas.
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 following 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 für 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.