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Weather & the connected vehicle 092811


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Intelligent Transportation Society of Connecticut Sept. 28, 2011 - Weather Technologies - Clarus and Connected Vehicles - Ray Murphy

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Weather & the connected vehicle 092811

  1. 1. Intelligent Transportation Society of Connecticut <br />14th Annual Meeting September 28, 2011<br />
  2. 2. Intelligent Transportation Society of Connecticut <br />14th Annual Meeting September 28, 2011<br />Ray Murphy<br /><ul><li>FHWA +10 yrs - program support:
  3. 3. Road Weather Management
  4. 4. Emergency Transportation Operations
  5. 5. Real – Time Data Management
  6. 6. + 20 yrs Illinois Dept. of Transportation:
  7. 7. Operations, Maintenance, & Construction
  8. 8. ITS Project Manager
  9. 9. CEC Officer/Seabees & Engineer Mentor</li></li></ul><li>Weather Technologies…<br />Clarus and the Connected Vehicle<br />Ray Murphy<br />Federal Highway Administration<br />September 28, 2011 Intelligent Transportation Society of Connecticut <br />
  10. 10. Road Weather Information System (RWIS)<br />Environmental Sensor Station (ESS)<br />Existing RWIS installations:<br />East Hartford<br />Middletown<br />Groton<br />New London<br />Lebanon<br />Sikorsky Bridge<br />New Haven<br />Stamford<br />North Canaan<br />Torrington<br />Avon Mountain<br />Seymour<br />Danbury<br />
  11. 11. 5<br />
  12. 12. Environmental Sensor Stations<br />2,253 Sensor Stations (ESS) 52,471 Individual Sensors<br />6<br />
  13. 13. The Clarus Initiative<br /><ul><li>Clarus is an R&D initiative to demonstrate and evaluate the value of “Anytime, Anywhere Road Weather Information” that is provided by both public agencies and the private weather enterprise to transportation users and operators.
  14. 14. To do so, FHWA created a robust
  15. 15. data assimilation,
  16. 16. quality checking, and
  17. 17. data dissemination system </li></ul> that can provide near real-time atmospheric and pavement observations from the collective states’ investments in environmental sensor stations (ESS).<br /><br />
  18. 18. The Clarus System<br />2011 National ITS Update<br /><br />FHWA Road Weather Management Program, in conjunction with the US DOT ITS Joint Program Office established Clarus in 2004 to reduce the impact of adverse weather conditions on surface transportation users. Clarus is the 21st Century’s answer to the need for timely, high-quality road weather information.<br /><ul><li>A database management system for all surface transportation weather observations in North America
  19. 19. One database removes borders
  20. 20. Provides advanced quality checking for both atmospheric & pavement data
  21. 21. Includes extensive metadata
  22. 22. Easy access via web portal & subscription</li></li></ul><li>Participation Status for Clarus<br />as of September, 2011<br />*1st time showing mobile data sources!<br />*<br />Canadian<br />Participation<br />Over 75% of State DOTs Participate in Clarus<br />Local Participation<br />City of Indianapolis, IN<br />McHenry County, IL<br />City of Oklahoma City, OK<br />Kansas Turnpike Authority <br />Parks Canada<br />Clarus Connection Status<br />Sensor & Station Count<br />2,253 Sensor Stations (ESS)<br />52,471 Individual Sensors<br /> 81 Vehicles<br />Connected (37 States, 5 Locals, 4 Provinces)<br />Connected plus vehicles (1 state)<br />Pending (4 States, 3 Locals, 1 Province)<br />Considering (3 States, 1 Local)<br />*<br />Intelligent Transportation Society of Connecticut<br />
  23. 23. Clarus System Observations<br />
  24. 24. Clarus Users in 2010<br /><ul><li>4993 unique addresses gaining access (3,524,702 hits) from 67 countries
  25. 25. government agencies (federal, state, local)
  26. 26. academic institutions
  27. 27. weather providers
  28. 28. TV stations
  29. 29. private sector firms
  30. 30. unknown sources (Internet providers, etc.)
  31. 31. Clarus Users in 2009 - 314 unique addresses gaining access (59,000+ hits) from 19 countries</li></li></ul><li>Clarus Survey<br />Conducted by ITSA from 15 June - 15 July 2011<br />Intent was to increase understanding of how Clarus is used by system customers<br />28 Participants: <br />13 State DOTs<br />6 private sector companies<br />4 academic institutions<br />3 Federal agencies<br />1 weather service provider <br />1 transit agency<br />
  32. 32. ClarusAccess Methods<br />Map: 48%<br />On-demand request: 26%<br />Subscription: 22%<br />Other: 4%<br />
  33. 33. New Data Preferences<br />Mobile Data: 81%<br />Air Quality: 50%<br />ASOS/AWOS: 46%<br />Other: 20%<br />Response Frequency<br />14<br />
  34. 34. Clarus System Survey - Summary<br />Clear primary indicators:<br /><ul><li> State DOTs are primary users
  35. 35. Main use of data is monitoring current weather
  36. 36. Map is the main access method
  37. 37. Mobile data most desired of new sources</li></li></ul><li>Clarus Regional Demonstrations<br />Objectives<br /><ul><li>Ensure the Clarus System works as designed
  38. 38. Demonstrate the ability of the Clarus System to process and provide data from large numbers of Environmental Sensor Stations (ESS)
  39. 39. Promote/educate on metadata collection
  40. 40. Foster proactive transportation system management in response to the weather
  41. 41. Encourage improved private sector services for road weather information enabled with data from the Clarus System
  42. 42. New software GOTS/open source</li></li></ul><li>Clarus Regional Demonstration<br />5 Use Case Scenarios<br />Enhanced Road Weather Forecasting Enabled by Clarus<br />Seasonal Load Restriction Tool<br />Non-winter Maintenance Decision Support System<br />Multi-state Control Strategy Tool<br />Enhanced Road Weather Content for Traveler Advisories<br />State Transportation Agency Partners<br />Meridian Team includes ID, MT, WY, ND, SD & MN<br />Scenarios 1, 2, 5<br />Mixon Hill Team includes IA, IL & IN<br />Scenarios 1, 3, 4<br />
  43. 43. Use Case #1: Enhanced Road Weather Forecasting Enabled by Clarus<br />Primary Objectives<br /><ul><li>Assess the impact of Clarus road weather observations (RWIS/ESS data) on various weather and road-weather models
  44. 44. Provide Clarus-enabled forecasts to the four use case scenarios that use applications and decision support tools </li></li></ul><li>Use Case #2: Seasonal Load Restriction Tool<br />Web-Client…<br />Restriction Generation<br />Quicker agency deployment<br />Multi-state interaction & awareness<br /><ul><li>State participants found value in . . .
  45. 45. Multiple displays of sub-pavement conditions
  46. 46. Site specific sub-pavement profile forecasts
  47. 47. Less ad-hoc approach potential
  48. 48. Multi-state display of restriction status</li></ul>Current Seasonal Load Restriction (SLR) by county Overview A multi-state view of active SLR information <br /><ul><li> Enables regional restrictions
  49. 49. Uses established state notification formats & procedures</li></li></ul><li>Use Case #3: Non-winter Maintenance and Operations Decision Support Tool<br />Primary Objectives<br /><ul><li>Continue to bridge the current gap between road weather information and proactive maintenance
  50. 50. Expand decision support beyond snow and ice control</li></li></ul><li>Use Case 4: <br />Multi-state Control Strategy Tool<br />Objectives…<br />To provide data and strategies which will improve the coordination between agencies with respect to the imposition of controls and dissemination of associated advisories. <br />This coordination will assist agencies in: <br /><ul><li>proactively responding to situations,
  51. 51. allow for timely dissemination of safety-related information, and thus mitigate the impact to travelers.</li></ul>i.e. chemical spill – tool monitors the weather data – chemical plume – general process graphic<br />
  52. 52. Use Case 5: Enhanced Road Weather Content for Traveler Advisories<br /><ul><li>Services for current and predicted pavement conditions
  53. 53. Expands traveler planning with future conditions
  54. 54. Delivered through state DOT website
  55. 55. Generate enhanced pavement condition information for travelers using Clarus data & enhanced forecasts from UC1
  56. 56. Support for multi-state trip planning
  57. 57. Connect state 511 system info</li></li></ul><li>Use Case #5<br />Web-Portal<br />Enhanced Road Weather Content for Traveler Advisories<br />Analysis Suggests Road Conditions<br />Observed Road Conditions<br />May Change from Good to Fair Driving Conditions<br />May Change from Good to Difficult Driving Conditions<br />Sensors indicate Conditions May Vary From Observed Road Conditions<br />Good Driving Conditions<br />Fair Driving Conditions<br />Difficult Driving Conditions<br />Road Closed/Blocked<br />Unknown<br />
  58. 58. Connected Vehicles and Weather <br />The Vehicle Data Translator (VDT) Version 3.0<br />Weather Observations from Connected Vehicles<br />
  59. 59. The Connected VehicleImproving Road Weather Awareness<br />
  60. 60. Connected Vehicle Applications<br /><ul><li>Safety
  61. 61. Collision warning
  62. 62. Traffic signal violation warning
  63. 63. Emergency notification
  64. 64. Environmental
  65. 65. Eco-routing
  66. 66. Multi-modal routing
  67. 67. Adaptive roadway lighting
  68. 68. Smart intersections
  69. 69. Mobility
  70. 70. Adaptive traffic signals
  71. 71. Intermodal transfers
  72. 72. Event and emergency planning/response
  73. 73. Parking location assistance</li></ul>26<br />
  74. 74. Connected Vehicle Scenarios<br />27<br />
  75. 75. Weather & the Connected Vehicle<br />Objectives…<br /><ul><li>Obtain a thorough picture of current weather and road conditions by including mobile sources
  76. 76. Higher resolution observations that spatially augment fixed sensors
  77. 77. Take advantage of existing standards and on-board sensors
  78. 78. Improve weather-related decision support tools to mitigate safety and mobility impacts of weather
  79. 79. Based on ability to better detect and forecast road weather and pavement conditions</li></li></ul><li>Weather Observations from Connected Vehicles<br />29<br />
  80. 80. Vehicle Data Translator (VDT)<br />Objectives…<br />Develop and improve the Connected Vehicle “Anytime, Anywhere Road Weather Information” <br />Better Characterization of current weather and road conditions<br />Accurate Quality Checking and/or Quality Control of vehicle data<br />Development of inferred road segment specific weather and road-weather information for end-user applications<br />
  81. 81. Vehicle Data Translator (VDT)<br />Ancillary: Radar, Satellite, RWIS, Etc.<br />VDT 3.0<br />Stage I<br />Stage III<br />Stage II<br />Mobile data ingesters<br />Segment module<br />Inference Module<br />Ancillary data ingesters<br />QC Module<br />QC Module<br />Output data handler<br />Output data handler<br />Output data handler<br />QC Module<br />Parsed mobile data<br />Advanced road segment data<br />Basic road segment data<br />Apps and Other Data Environments<br />
  82. 82. Vehicle Data Translator (VDT) – Version 3.0<br />Stage I<br />Ingest vehicle data from aftermarket sensors<br />Data parsed, sorted/binned<br />Light Quality Control<br />Sorted by time, road segment and grid cell<br />Segments & grids user defined<br />All processed data available for other applications<br />Stage I<br />Mobile dataingesters<br />Output data handler<br />Parsed mobile data<br />Apps<br />
  83. 83. Vehicle Data Translator (VDT) – Version 3.0<br />Stage II<br />Ingest ancillary data for QC and Stage III<br />Quality Checks<br />From Clarus: Sensor Range, Spatial, Climate Range<br />New Mobile Data Tests: Data Filtering (tunnel, slow speeds), Model Analysis, Neighboring Vehicle, Combined Algorithm<br />Combines point data into basic road segment products<br />Temp range, speed, etc<br />Ancillary: Radar, Satellite, RWIS, Etc.<br />Stage II<br />Statistics module<br />Ancillary data ingesters<br />Output data handler<br />QCh Module<br />QC’d data, Basic road segment data<br />Apps<br />
  84. 84. Vehicle Data Translator (VDT) – Version 3.0<br />Stage III<br />More sophisticated road impact information<br />Precipitation Type and Intensity: combines basic vehicle (e.g. wiper, temp), weather radar and satellite data<br />Visibility: combines basic vehicle (e.g. headlight, wiper, temp), satellite and fixed weather station data <br />Pavement Condition: combines more vehicle (e.g. ABS, traction, etc) , weather radar and satellite<br />Stage III<br />Inference Module<br />Output data handler<br />Advanced road segment data<br />Apps<br />
  85. 85. What Can You Do With VDT-based Data?<br />There are any number of road weather dynamic applications that could use vehicle-based observations:<br /><ul><li>State DOT-based applications
  86. 86. Transportation-specific applications
  87. 87. Broad Weather & Transportation applications</li></li></ul><li>State DOT-based Applications<br /><ul><li>Observation assimilation
  88. 88. Fill in the gaps between fixed stations
  89. 89. Collect real-time pavement temperatures</li></ul>VDT-based data<br /><ul><li>Maintenance Decision Support
  90. 90. What are the current roads conditions?
  91. 91. Accurate pavement temperature modeling
  92. 92. Manage Maintenance Actions
  93. 93. End of Shift Reports
  94. 94. Materials Management</li></li></ul><li>Transportation-specificApplications<br />*<br />*Simulated screen – designed to not distract the driver<br />VDT-based weather alerts:<br /><ul><li> Impending weather hazards
  95. 95. Alerts from other vehicles
  96. 96. Re-routing</li></li></ul><li>Broad Transportation Applications<br />VDT-based data<br />Winter Maintenance – <br /> Which roads have been treated?<br />Route Specific Impact Warnings for…<br />Tornado Warning! <br />I70 Denver to Limon<br />Delay Until 3:30pm<br />School Buses<br />EMS<br />Truckers<br />
  97. 97. Weather-related Applications<br />Numerical Weather Modeling<br />Traffic Modeling and Alerting<br />Weather Modeling – complex terrain<br />Other surface transportation users<br />
  98. 98. Future - Optimized Winter Maintenance<br /><ul><li>Use of Connected Vehicle network and data allows more effective and efficient deployment of pre-treatment, treatment, and plowing operations
  99. 99. Local weather information from Connected Vehicle network
  100. 100. From vehicles:
  101. 101. Temperature, barometric pressure, precipitation sensors, head lights
  102. 102. Activation of ABS, Stability control, traction control
  103. 103. From roadside equipment:
  104. 104. Pavement temperatures, humidity, etc.
  105. 105. From on-board equipment in maintenance vehicles
  106. 106. Application rates
  107. 107. GPS, Time</li></ul>40<br />
  108. 108. Integrated Mobile Observing & Dynamic Decision Support<br />State DOT & Private Vehicle Data<br />Connected Vehicle Data Capture<br />VDT<br />(NCAR)<br />Clarus<br />Other Connected Vehicle Applications<br />
  109. 109. FHWA Road Weather Mgmt. Team<br />Paul Pisano, Team Leader Dale Thompson<br />FHWA Office of Operations USDOT RITA, JPO<br />202-366-1301 202-366-4876<br /><br />Roemer Alfelor C.Y. David Yang<br />FHWA Office of Operations FHWA Off. of Operations R&D<br />202-366-9242 202-493-3284<br /><br />Gabriel Guevara Ray Murphy<br />FHWA Office of Operations FHWA Off. of Tech. Services<br />202-366-0754 708-283-3517<br /><br />