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Nevada DOT: Weather Responsive Management Strategies

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During the 2019 NADO Annual Training Conference (October 19 - 22 in Reno, NV), Rod Schilling shared information on the Nevada Department of Transportation's effort to improve information about roadway conditions by equipping snow plows and other maintenance vehicles with sensors.

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Nevada DOT: Weather Responsive Management Strategies

  1. 1. 10/30/20191
  2. 2. Deploying Technology to Improve Transportation Systems Weather Responsive Management Strategies (WRMS) Rod Schilling, NDOT 2 2019 NADO ATC Reno, Nevada October 18-22, 2019
  3. 3. Nevada DOT WRMS Framework 3 In-Vehicle Equipment: • Weather Sensors • Vehicle Sensors (OBU, CANBus) • Equipment Sensors (Spreader) • Location Sensor (GPS) • Radio Applications and MMS: • Winter Maintenance - Treatment Recommendations - Material Usage Tracking • Traffic Management - Traveler Information • Data Management Systems - WxDE, NCAR, etc
  4. 4. Weather-Responsive Traffic Management (WRTM) 4 2019 NADO ATC Reno, Nevada October 18-22, 2019
  5. 5. Nevada DOT WRMS Framework 5 In-Vehicle Equipment: • Weather Sensors • Vehicle Sensors (OBU, CANBus) • Equipment Sensors (Spreader) • Location Sensor (GPS) • Radio Applications and MMS: • Winter Maintenance - Treatment Recommendations - Material Usage Tracking • Traffic Management - Traveler Information • Data Management Systems - WxDE, NCAR, etc
  6. 6. Nevada IMO Project • Approx. 60 vehicles equipped to acquire mobile data including: - Air Temperature - Surface Temperature - Relative Humidity - Atmospheric Pressure - Wiper Status - Spreader Rate • Supports a number of WRMS Applications - WRTM - Data is processed through the Nevada Data Exchange (NDEX) - Road Weather Information System (RWIS) Data - Digital Camera Images - Mobile (IMO) Data - WRMM - Enhanced Maintenance Decision Support System (eMDSS) - Motorist Advisory and Warning - Material Usage Tracking 6
  7. 7. 10/30/2019 NIMO 3 Vehicles - 9 Snow plows with instrumented spreader motors and 1 freeway service patrol vehicle - 5 in Reno - 3 in Carson City - 2 in Lake Tahoe District II IMO Inventory UNIT # YEAR MAKE MODEL DESCRIPTION 2272 2007 PETERBILT 357 TANDEM AXLE DUMP TRUCK 1915 2007 PETERBILT 357 TANDEM AXLE DUMP TRUCK 0763 2009 PETERBILT 367 TANDEM AXLE CAB AND CHASIS 2275 2007 PETERBILT 357 TANDEM AXLE DUMP TRUCK 3200 2007 PETERBILT 357 TANDEM AXLE DUMP TRUCK 2274 2007 PETERBILT 357 TANDEM AXLE DUMP TRUCK 3319 2009 PETERBILT 367 TANDEM AXLE CAB AND CHASIS SWL 0323 2007 PETERBILT 367 TANDEM AXLE CAB AND CHASIS 0267 2001 INTERNATIONAL 5000 AWD R1 2012 FORD E240 FREEWAY SERVICE PATROL VAN/PU 7
  8. 8. Plow On-Board Hardware Mirror Mounted Air Temp - Atmospheric Pressure Comet Sensor Rear Mounted Spreader Rate Custom Sensor Behind Passenger Seat Mounted OBU – ARADA System Mirror Mounted Air/Pavement Temp – Roadwatch Sensor Mirror Mounted Multi-band Diversity Antenna Cell, WIFI & GPS Mobile Mark Sensor
  9. 9. NIMO 3 On Board Units (OBU)
  10. 10. DSRC Site Locations 10 18 Locations along I-580 1. I-80 2. Mill Street 3. Plumb Lane 4. Moana Lane 5. Peckham Lane 6. Neil Road 7. Exit 61, Virginia St 8. Arrow Creek 9. SR 431, Mt. Rose Hwy 10. Galena Forest 11. Steamboat Hills 12. Galena Creek 13. Brown’s Creek 14. Parker Ranch 15. Bower’s 16. Washoe Valley 17. Arrowhead Dr 18. 5th Street
  11. 11. Vehicle Routes Cellular DSRC 11 18 DSRC Locations 32 Miles DSRC 54 Miles Cellular
  12. 12. Nevada DOT WRMS Framework 12 In-Vehicle Equipment: • Weather Sensors • Vehicle Sensors (OBU, CANBus) • Equipment Sensors (Spreader) • Location Sensor (GPS) • Radio Applications and MMS: • Winter Maintenance - Treatment Recommendations - Material Usage Tracking • Traffic Management - Traveler Information • Data Management Systems - WxDE, NCAR, etc WRTM
  13. 13. • NDOT’s coloimomesssrv1 (aka – mESS server) • IMO3 configurations and applications utilizing the NDOT coloimomesssrv1 • mESS server database receiving IMO3 OBU and RSU observation and local mapping application running • All RSU’s using IP/Ethernet • IP Host OBU Plan implemented • NDEX Interface Control Document (ICD) complete • Switch over for all mESS and RSU data to NDOT mESS server completed • JSON format 10/30/201913
  14. 14. IMO 2272 10/30/201914
  15. 15. FSP 10/30/201915
  16. 16. IMO 0267 10/30/201916
  17. 17. Nevada DOT WRMS Framework 17 In-Vehicle Equipment: • Weather Sensors • Vehicle Sensors (OBU, CANBus) • Equipment Sensors (Spreader) • Location Sensor (GPS) • Radio Applications and MMS: • Winter Maintenance - Treatment Recommendations - Material Usage Tracking • Traffic Management - Traveler Information • Data Management Systems - WxDE, NCAR, etc WRTM
  18. 18. 10/30/201918 Nevada Data Exchange (NDEX) - General Concept
  19. 19. • Detector Station • CCTV • Dynamic Message Sign (DMS) • Environmental Sensors (ESS) • Mobile Environmental Sensors (mESS) – (No National Standard) • Highway Advisory Radio (HAR) • Incidents/Events • Ramp Meter • Node, Link, Traffic Network NDEX messages include inventory and device status 19 NDEX Device Types
  20. 20. 20 Nevada Data Exchange • Environmental Sensor Stations (ESS) •Road Weather Information Sites (RWIS) •135 Nevada DOT non-invasive and invasive sites •Wind Speed and Direction; Gust Speed and Direction; Visibility; Air Temperature; Relative Humidity; Dew Point; Rain (Yes/No), Rate; Road Grip; Water Layer, Ice Layer; Snow Depth, Snow Layer; Surface Temperature; Pavement Temperature; Soil Temperature; Surface Status and Surface Freeze Point • Mobile Environmental Sensor Stations (mESS) •IMO •Approximately 60 vehicles equipped to receive mobile weather data •Air Temperature •Surface Temperature •Relative Humidity •Atmospheric Pressure •AVL •Wiper Status and Rate •Spreader Rate
  21. 21. NIMO 3 Sensor Package Inventory 10/30/201921 Sensor ID Manufacturer Source Unit of Measure Target Observation Type ATRoadwatch NTCIP 1204 ESS Air Temperature RTRoadwatch NTCIP 1205 ESS Surface Temperature ATComet Temperature Celsius NTCIP 1204 ESS Air Temperature RHComet Relative Humidity, percent NTCIP 1204 ESS Relative Humidity APComet Atmospheric Pressure, Bar NTCIP 1205 ESS Atmospheric Pressure GPGGA Cradlepoint NMEA 0183 Sentence GPGGA NMEA 0183 Sentence GPGGA WRAdam Adam Wiper Rate SAE J2735 Roadwatch Temperature Celsius Comet
  22. 22. 10/30/2019 Use Available Standard Measures 22
  23. 23. 10/30/201923 NDEX Key Stakeholders (Users) • Traffic Management Centers (D2 Reno, D3 Elko, & D1 / FAST / Las Vegas) • External Centers (UNR, UNLV, UC Davis, & DRI)
  24. 24. 10/30/201924 NDEX Key Stakeholders (Users) • Other County and City TMCs (RTC South / Seeing Orange) • NDOT 511 (VoltDelta) and Nevada Highway Patrol (NHP) • NIMO, WxDE, and NCAR • RTC North, Waze
  25. 25. Weather-Responsive Maintenance Management (WRMM) 25 2019 NADO ATC Reno, Nevada October 18-22, 2019
  26. 26. Nevada DOT WRMS Framework 26 In-Vehicle Equipment: • Weather Sensors • Vehicle Sensors (OBU, CANBus) • Equipment Sensors (Spreader) • Location Sensor (GPS) • Radio WRMM Applications: • Data Management Systems - NCAR, EMDSS • Winter Maintenance - Treatment Recommendations - Material Usage Tracking • Traffic Management - Traveler Information - MAW
  27. 27. Enhanced MDSS 27 • As part of the EDC-4 Weather Savvy Roads initiatives: – Executed agreement with University Corporation for Atmospheric Research (UCAR) as of 07/16/2018 to deploy and utilize the Enhanced Maintenance Decision Support System (EMDSS) during times of inclement weather and dangerous road conditions • Road Treatment Recommendations • Road Segment Observations • Alerts due to Inclement Weather • MAW
  28. 28. Pikalert - Weather Forecasting 10/30/201928
  29. 29. Pikalert - Weather Forecasting 10/30/201929 Sources of Weather Data: - NDOT RWIS - NOAA radar mosaic reflectivity grids - NOAA dual polarization radar grids - NOAA Global Forecast System (GFS) model - NOAA High Resolution Rapid Refresh (HRRR) model - NOAA Model Output Statistics (MOS) - NOAA Real-time Mesoscale Analysis (RTMA) model - NDOT IMO vehicles
  30. 30. Pikalert - Weather Forecasting 10/30/201930
  31. 31. 10/30/201931 Pikalert - Forecast Plots
  32. 32. Enhanced MDSS 32 • Treatment Recommendations – Configure road condition and treatment module for Nevada salt brine, salt, and salt/sand treatment – Treatments are based upon the FHWA guidelines and NDOT practices • Weather Alerts – 4 alert levels: Clear, Notice, Caution and Warning – Blow over forecasting – Provide MAW – Email alerts to the Road Operations Center for 4 alert levels: Clear, Notice, Caution and Warnings – Integrating with 511 and Spillman CAD
  33. 33. Pikalert - Weather Forecasting 10/30/201933
  34. 34. Pikalert - Weather Forecasting 10/30/201934
  35. 35. Pikalert - Weather Forecasting 10/30/201935
  36. 36. Pikalert - Weather Forecasting 10/30/201936 Motorist Advisory Warning (MAW)
  37. 37. Enhanced MDSS 37 • Benefits Expected To Be Achieved – NDOT turn over in maintenance staff and experience – This will provide the necessary tools to train and educate the staff – Provides 72 hour weather forecasting to maintenance staff – Provides NDOT recommended treatments – Provides real-time road weather segment observations – Provides real-time mobile weather observations
  38. 38. Material Usage Tracking 38 • NDOT Equipment Division • NIMO3 rear mounted custom spreader rate system • Tasks with Pikalert include the following: • Plow information • Location of maintained roads • Status display of roads plowed with new color coded overlay • Which Materials • salt brine, salt, and salt/sand treatment
  39. 39. Material Usage Tracking 39 • NDOT Equipment Division • Implementing snow plows with Cirus Spreaders •Which Materials •salt brine, salt, and salt/sand treatment
  40. 40. Material Usage Tracking 40 • Benefits Expected To Be Achieved • Integrate sensor data where coupled with AVL allows tracking of how specific segments of the roadway are being treated with material • Allows Maintenance Supervisors and Engineers to use EMDSS for evaluating gains and losses • The information can be used to optimize maintenance operations • MMS serves as the backbone to EMDSS • Creates a performance index for the departments transparency

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