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Data Fusion. Some views Yesterday Often one system per application Today multi use is the issue Tomorrow Different information fused with more and new conclusions available Methods to interpret new information Other disciplines first Now within eg. monitoring.
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Data Fusion Some views • Yesterday • Often one system per application • Today • multi use is the issue • Tomorrow • Different information fused with more and new conclusions available • Methods to interpret new information • Other disciplines first • Now within eg. monitoring
Procedures for Test and Quality Assurance of New Technologies for Road Traffic Monitoring, Germany Different having one test method covering all technologiesr, How to verify fused information Different requirements for different applications Model-based Analysis and Prediction of Traffic States in the Secondary Road Network of Hesse, Germany Different approaches using real data and real time models versus measured data only Using different technologies, having advantages and disadvantagies Combination of technologies. In the beginning of a new “fused” area. Development must go on Lessons learnt!
Lessons learnt (2) • The data distributor system – one step further in the direction of robust and versatile traffic monitoring systems, Germany • Architecture, standards - still a challenge, • Should we do less complex cases? • Experiences with data fusion, Scotland • Good idea and it works, • Win-win, require some business models • Using Data on Road Condition and Weather for Short-term Forecasting, Germany • Competion between companies, authority evaluate and compares different approaches
