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Satellite-Based Traffic Measurement: Unlocking the Future of Transportation Data

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kyra-chavez
10 diapositives · 232 Views · Nov 19, 2014

This workshop presentation by Dipl.-Ing. Martin Ruhé from the German Aerospace Center (DLR) discusses the integration of satellite-based technologies in traffic measurement. It highlights advancements in remote sensing, GPS navigation, and radar technology, emphasizing the potential of space-born data collection to enhance traffic forecasting and management across transportation networks. The presentation also addresses the limitations of stationary sensors and underlines the importance of spatial data connections for accurate traffic analysis. The future of transportation research lies in leveraging these innovative systems.

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Satellite-Based Traffic Measurement: Unlocking the Future of Transportation Data
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  1. Mobility Approach of MultiSat WebService Dipl.-Ing. Martin Ruhé German Aerospace Center (DLR) Institute of Transportation Research Workshop “Satellite based Traffic Measurement” Berlin, September 9th 2002

  2. Why Space Born? Space flight technology;already establishedfor transportationsystems Iridium Mobilecommunicationglobal available GPS Positioningfor Navigation Eutelsat Transmission of conventionaltraffic information Envisat Earth observation to produce digital maps

  3. Technical Motivation • Modern methods of remote sensing showa realistic chance for space born traffic data collection. • Today it is possible to build up an optical camera with aresolution of better than 2 meters by a weightroundabout 4 kg and a frame size of 4 km. • It is possible to measure (airborne) the speed of vehicles with radar technology. km/h

  4. Spatial Dimension Sensor fusion for Traffic Data by CCTV • Traffic has always a spatial dimension. Local accidents spread in all directions. • The stationary sensors yield only local measurements. • The transformation of local measurements to the transport network is always incorrect. • The traffic forecast needs traffic measurements with connection to spatial information.

  5. Stationary Sensors • Stationary sensors work with different physical principles. • Stationary sensors are optimised for many differentspecial tasks. • Most sensors are highly developed and very accurate. • Most systems are passive, they do not need correspondingtechnology in the vehicles. • Traffic sensors are not optimized for data fusion. • In general online traffic data can only be used locally.They are not optimised for real-time transmission.

  6. Comparison of Costs FCD = Floating Car Data EO = Earth Observation

  7. Comparison of Costs Cross Border Transportation -The new challenge fortransportation management

  8. Logistics Automotive industries Traffic management Intelligenttransportation systems Research Consultants Local authorities andtransportation departments Interviews of Specialists • The core questions: • Is your company presently exploiting satellite based information resources? • What would be the most important requirements for a future use of satellites? • Which of the proposed MultiSat WebService features are of any importance to your company? • If interested in purchasing information, what would be your preferred method of payment? The interview partners have been selectedfrom business range of:

  9. Primary Markets

  10. Summary • The traffic forecast needs traffic measurements connected with borderless and spatial information. • The system design gives the opportunity to configure thespace system according to further customer needs. • The market analysis has shown a promising market demand and volume for MultiSat WebService. We all have to work on the topic of space born traffic data measurement because it is going to be a future theme intransportation research.