1 / 32

Road segment forecasting A tool for salt spreader control using GPS VIKING workshop

Road segment forecasting A tool for salt spreader control using GPS VIKING workshop Hamburg, March 15th 2007 by Alexander Mahura, Claus Petersen and Bent Sass Presented by Torben Strunge Pedersen The Danish Meteorological Institute. Outline of the talk.

arlene
Download Presentation

Road segment forecasting A tool for salt spreader control using GPS VIKING workshop

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Road segment forecasting A tool for salt spreader control using GPS VIKING workshop Hamburg, March 15th 2007 by Alexander Mahura, Claus Petersen and Bent Sass Presented by Torben Strunge Pedersen The Danish Meteorological Institute March 15th 2007

  2. Outline of the talk • What is Road Segment Forecasting (RSF) ? • A RSF method • The Potential in RSF • Quality and examples • The future March 15th 2007

  3. Road station March 15th 2007

  4. Point forecasts (PF) from Road Condition Model (RCM) – Showing status March 15th 2007

  5. RSF - Showing status March 15th 2007

  6. Ice car – Used for thermal mapping March 15th 2007

  7. Thermal mapping, Halskov - Ringsted Left and right lane March 15th 2007

  8. Mean thermal mapping profile March 15th 2007

  9. GPS equipped spreaders • GPS has opened the opportunity for automatic control of width and asymmetry of the spreading pattern • With reliable weather forecasts for segments of the route the automation can be taken a step further – to automatically vary the amount of salt applied along the route March 15th 2007

  10. New equipment for spreaders • The price of infrared sensors determining the temperature of the road surface has come down • Together with GPS this makes it economically possible to get thermal mapping data from spreaders in operation • Provide data for validation March 15th 2007

  11. Infra red sensor mounted on spreader March 15th 2007

  12. Infra red sensor mounted on spreader March 15th 2007

  13. Test route – 2005 / 2006 season Route VA 4 - Ribe County March 15th 2007

  14. Road segment forecast • Based on PF ”near” the route forecasts for 2 km segments are obtained by interpolation • Note this method does not use information from the infra red sensors! March 15th 2007

  15. End user presentation March 15th 2007

  16. Forecast quality • Making a forecast is easy • But what is the quality ? • Here we will look at quality through two measures • Mean Deviation (MD) • Mean Absolute Deviation (MAD) March 15th 2007

  17. Forecast quality NWP • NWP MAD – PF for road stations March 15th 2007

  18. Forecast quality – Present system • NWP versus RCM MAD – PF for road stations March 15th 2007

  19. Forecast quality – Present system • The importance of road stations March 15th 2007

  20. RSF-Potential - Hypothetical route March 15th 2007

  21. “RSF” potential March 15th 2007

  22. Route VA 4 – thirty 2 km segments March 15th 2007

  23. Measurements from spreaders • 2005 – 2006 season • 102 operations available (duration from minutes to about 4 hours) • 90.459 measurements in all • Time averaging (1 min.) and allocation to the corresponding 2 km road segment reduces the amount available for the evaluation to 5.844 measurements March 15th 2007

  24. Amount of observations by segment March 15th 2007

  25. Comparison of observations Infra red sensor versus road station Starup MD -0.11 degree MAD 0.51 degree March 15th 2007

  26. RSF (3 hour) versus observation I March 15th 2007

  27. RSF (3 hour) versus observation II March 15th 2007

  28. RSF (3 hour) versus observations MD March 15th 2007

  29. RSF (3 hour) versus observation MAD March 15th 2007

  30. The future • The near future (now) • Integration of infra red sensor data in the RCM / RSF forecasting • Increased horizontal resolution in the RCM • Include more test routes • The not so distant future • Use of RSF for applying variable amounts of salt along routes • And then – eventually • Integration of RSF in spreaders for automatic controlling of the salt amount used March 15th 2007

  31. Conclusion • The technology for developing and evaluate RSF is available • This pilot study shows that the quality of RSF is nearly comparable to the one known from state of the art PF • Road stations are essential for a good quality of forecasts (both PF and RSF) March 15th 2007

  32. The future is very near (you)! Thank you for your attention!!! March 15th 2007

More Related