Weather Applications and Products Enabled Through VII > Table of Contents

Weather Applications and Products Enabled Through Vehicle Infrastructure Integration (VII)

12. References

  1. Federal Highway Administration, Road Weather Management Program. How Do Weather Events Impact Roads? www.ops.fhwa.dot.gov/Weather/q1_roadimpact.htm Accessed July 13, 2006.
  2. Goodwin, L.C. Weather Impacts on Arterial Traffic Flow. Mitretek Systems, Inc., Falls Church, VA, December 2002.
  3. Argawal, M., T. H. Maze, and R. Souleyrette. Impact of Weather on Urban Freeway Traffic Flow Characteristics and Facility Capacity. Center for Transportation Research and Education, Iowa State University, August 2005.
  4. Weather and Highways. Atmospheric Policy Program, American Meteorological Society, Boston, MA, April 5, 2004.
  5. Mahoney, W. P. Transportation Weather Research and Development Needs to Support ITS, Version 1.1, National Center for Atmospheric Research, Boulder, CO, November 2005.
  6. National Academy of Sciences. Where the Weather Meets the Road: A Research Agenda for Improving Road Weather Services. The National Academies Press, Washington, D.C., 2004.
  7. Alapaty, K., N. L. Seaman, D. S. Niyogi, and A. F. Hanna. Assimilating surface data to improve the accuracy of atmospheric boundary layer simulations. Journal of Applied Meteorology, Vol. 40, 2001, pp. 2068-2082.
  8. Pisano, P. A., J. S. Pol, A. D. Stern, and L. C. Goodwin. Clarus – The Nationwide Surface Transportation Weather Observing and Forecasting System. Proceedings from the Transportation Research Board, Annual Meeting, Washington, D.C., 2005.
  9. Vehicle Infrastructure Integration (VII): VII Architecture and Functional Requirements Version 1.1, USDOT, ITS Joint Program Office. Washington, D.C., July 20, 2005.
  10. Parkany, E. and P. J. Tarnoff. VII Data Characteristics Task: Identification of VII Probe Data Addressing Traffic Management and Traveler Information Needs. Mitretek Systems, Inc., Falls Church, VA, July 2006.
  11. Vehicle Infrastructure Integration (VII) VII Probe Message Processes, Version 1.1, Federal Highway Administration. Washington, D.C., May 2, 2006.
  12. Jones, W. S. VII Technical Progress. Presented at the 12th World Congress on Intelligent Transportation Systems, San Francisco, CA, 2005.
  13. Stern, A. D. and K.J. Biesecker. Vehicles as Mobile Sensing Platforms for Meteorological Observations. Mitretek Systems, Inc., Falls Church, VA, June 2006.
  14. Wetzel, J. M., J. R. Sayer, and D. Funkhouser. An Examination of Naturalistic Windshield Wiper Usage. The University of Michigan Transportation Research Institute., Ann Arbor, MI, December 2004.
  15. Currie, N. C. and C. E. Brown. Principles and Applications of Millimeter-Wave Radar. Artech House, Inc., Norwood, MA, 1987.
  16. William, D.. FMCW MMW Radar for Automotive Longitudinal Control. Institute of Transportation Studies. California Partners for Advanced Transit and Highways (PATH), University of California, Berkeley, CA, May 1997.
  17. American Meteorological Society. Glossary of Meteorology. American Meteorological Society, Boston, MA, 2000.
  18. Kessinger, C., S. Ellis, J. Van Andel, J. Yee and J. Hubbert, 2004: Current and future plans for the AP Clutter Mitigation Scheme. 20th International Conference on Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology, American Meteorological Society, Seattle, WA, 12-15 January 2004.
  19. Dixon, M., C. Kessinger, and J. Hubbert, 2006: Echo classification within the spectral domain to discriminate ground clutter from meteorological targets, Preprints-CD, 22nd International Conference on Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology, American Meteorological Society, Atlanta, GA, 30 January-2 February 2006.
  20. Reduced-Visibility (Fog) Accidents on Limited Access Highways. National Transportation Research Board Special Study, Number HSS-72/04., November 1972.
  21. Nakatsuji, T., A. Kawamura, and T. Maeda, 2004: Inverse Estimation of Friction Coefficient of Winter Road Surface with Vehicle Motion Data Measured by GPS-Equipped Probe Vehicles. Transportation Research Circular, Number E-C063, Proceedings from the Sixth International Symposium on Snow Removal and Ice control Technology, Transportation Research Board, June 7-9, 2004, Spokane, WA, pp 442-454.
  22. Negnevitsky, M. Artificial Intelligence: A Guide to Intelligent Systems. Pearson Education Limited. Essex, England, 2002.
  23. Chen, F., K. W. Manning, D. N. Yates, M. A. LeMone, S. B. Trier, R. Cuenca, and D. Niyogi. Development of High Resolution Land Data Assimilation System and Its Application to WRF. Presented at the American Meteorological Society 16th Conference on Numerical Weather Prediction, Seattle, WA, 2004.
  24. Lui, Y., F. Vandenberghe, S. Low-Nam, T. Warner, and S. Swerdlin. Observation-Quality Estimation and Its Application in the NCAR/ATEC Real-Time FDDA and Forecast (RTFDDA) System. Presented at the American Meteorological Society 16th Conference on Numerical Weather Prediction, Seattle, WA, 2004.
  25. Hacker, J. P., J. L. Anderson, and M. Pogowski. Improved Vertical Covariance Estimates for Ensemble-Filter Assimilation of Near-Surface Observations. Monthly Weather Review., accepted pending revisions. 2006.

 

Previous | Table of Contents | Next