Session 5: Weather and Traffic Data Integration · 2019. 9. 13. · Presentation McFarland...
Transcript of Session 5: Weather and Traffic Data Integration · 2019. 9. 13. · Presentation McFarland...
Session 5: Weather and Traffic Session 5: Weather and Traffic Data Integration
OverviewOverview
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Weather and Traffic Data Integration into TMCs McFarland
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Integration into TMCsTraffic Data &TransportationpSystem Status
DecisionSupport Societalpp
Systems &Assessments
BenefitsWeatherForecastModels
People & PoliciesData
WeatherObservingObservingSystems
On-going feedback to optimize value and reduce gaps
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Scope of Information Integration
PresentationMcFarland
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• Enhancing the use of weather information in TMC OperationsS l bl h t i t ti f
Weather Information • Scalable approach to integration of
various available weather sources Information Integration
• National network of near real-time, quality checked road weather observation data
• Ongoing development of Clarus-enabledClarus Initiative Ongoing development of Clarus enabled applications
Clarus Initiative
• Baselining current road weather information• Data Mining and Gaps Analysis • Application of Mobile Data for WRTM
Data Sources, Needs and
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Application of Mobile Data for WRTM StudiesRequirements
WEATHER INFORMATION INTEGRATION IN TMC McFarland
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Examples of Weather Integrationin TMC Operations
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in TMC Operations• Increased internal weather information resources (e.g.
camera imagery, use of satellite and ASOS data, etc.)• Increased use of external weather information and forecasts• Expanded availability of weather information • More frequent weather forecasts (occasional to continuous)• Use of more road weather observations
Level 1 Cable channel or subscription weather information vendor providing general weather information
• Greater coordination of weather information within TMC, with maintenance, meteorology staffM t i th
Level 2 Internet provided weather radar or satellite image on video wall
Level 3 Field observers or ESS network providing scheduled road or driving • More extensive weather coverage• Closer association with weather experts
Automated weather alert notification
condition reports
Level 4 Vendor provided daily surface transportation weather forecasts and observed weather conditions
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• Automated weather alert notification• Greater use of decision support systems (such as MDSS)
observed weather conditions
Level 5 Meteorologist, located within TMC, forecasting and interpreting weather
Integration Activities with TMCsMcFarland
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Management, LLC• Sacramento, California Regional TMC: Implemented and evaluated the performance of a weather alert notification system
• Kansas City Scout TMC: Integrating weather event forecast• Kansas City Scout TMC: Integrating weather event forecast information into their Advanced Traffic Management System (ATMS)Colorado Springs TMC: Conducting a pilot study on winter• Colorado Springs TMC: Conducting a pilot study on winter weather arterial signal timing in one of their city grids
• Louisiana statewide TMCs: Completed a comprehensive statewide self-evaluation and integration plan across their four TMCs
• Wyoming Statewide TMC: Expanding road weather information y g p gsensor coverage and implementing additional variable speed limit notification system in key corridors
• Redding, California TMC: Completed their self-evaluation but
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Redding, California TMC: Completed their self evaluation but resource limitations prevented them from completing an integration plan
Supporting TMCs in Achieving McFarland
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Supporting TMCs in Achieving Higher Levels of Weather Integration
• The Self-Evaluation and Planning Guide is available for download at:
http://www.ops.fhwa.dot.gov/weather/tmctool/registration.htm
• Steps in the Process:
Self-Evaluation Integration Plan Plan Implementation
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CLARUS INITIATIVE8
CLARUS INITIATIVE
The Clarus InitiativeMcFarland
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•Clarus is an R&D initiative to demonstrate and evaluate the value of “Anytime, Anywhere Road Weather Information” provided by both public agencies and the private g pweather enterprise to transportation users and transportation users and operators.
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What is Clarus SystemMcFarland
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• “Robust data assimilation, quality checking, and data dissemination system that could provide near real-time atmospheric and pavement
fobservations from the collective state's investments in road weather information system, environmental sensor stations (ESS) as well as mobile observations from Automated Vehicle Location (AVL) equipped trucks”trucks
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Participation Status for ClarusMcFarland
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CanadianParticipationParticipation
Local ParticipationCity of Indianapolis, INC ty o d a apol s, NMcHenry County, ILCity of Oklahoma City, OKKansas Turnpike Authority Parks Canada
Clarus Connection Status
Sensor & Station CountConnected (37 States, 5 Locals, 4 Provinces)
Connected plus vehicles (1 state)
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2,253 Sensor Stations (ESS)52,471 Individual Sensors81 Vehicles
Connected plus vehicles (1 state)
Pending (4 States, 3 Locals, 1 Province)
Considering (3 States, 1 Local)
Coverage of Clarus SystemMcFarland
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The potential of ClarusMcFarland
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Clarus Regional DemonstrationsMcFarland
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• Use Case 1: Enhanced Road Weather Forecasting Enabled by Clarus• Use Case 2: Seasonal Weight Restriction Decision Support ToolUse Case 2: Seasonal Weight Restriction Decision Support Tool• Use Case 3: Non-winter Maintenance and Operations Decision Support
Tool• Use Case 4: Multi state Control Strategy Tool• Use Case 4: Multi-state Control Strategy Tool• Use Case 5: Enhanced Road Weather Content for Traveler Advisories
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Clarus-enabled ApplicationsMcFarland
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• Integrating Clarus Data in Traffic Signal System Operation: A Survivable Real-Time Weather Responsive System (University of Idaho)
• New Brunswick-Nova Scotia Clarus Integration Plus (AMEC)• One-Stop Shop for Rural Traveler Information (Western Transportation
Institute)s u e)• The Integration of Multi-State Clarus Data into Real-time and Archived
Regional Integrated Transportation Information System (RITIS) Data Visualization Tools (University of Maryland – CATT Laboratory)( y y y)
• Research on Clarus System Data (integration of Clarus system data with the Data Transmission Network road segment alerting engine – Telvent)
• Integrating Clarus Weather Station Data and State Crash Data into aIntegrating Clarus Weather Station Data and State Crash Data into a Travel Decision Support Tool (Michigan Technological University)
• Passenger Bus Industry Weather Information Application (GST, Inc)A li ti f Cl S t D t t th I t f M bil ESS
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• Application of Clarus System Data to the Improvement of Mobile ESS Utilization (University of North Dakota
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ANALYSIS OF DATA SOURCES,
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,NEEDS, REQUIREMENTS
Establishing a baselinefor current road weather information McFarland
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for current road weather information.• Accuracy/Precision – The “closeness” between an
observed or forecasted condition and the actual condition;observed or forecasted condition and the actual condition; • Completeness – Whether there was adequate information to
fulfill users’ requirements;• Relevance – The fit of the information to the users’ needs • Currency/Latency – The age of the information;• Timeliness/Reliability – Whether there was consistent and
on-time delivery of information; and• Ease of Use Whether it was easy to obtain interpret and• Ease of Use – Whether it was easy to obtain, interpret, and
use the information.
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Report: Baselining Road Weather Information, 2009, http://ntl.bts.gov/lib/31000/31000/31065/14486_files/14486.pdf
Data Mining and Gap AnalysisMcFarland
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• Conduct a comprehensive search and documentation of traffic and weather data in the United States and abroad thattraffic and weather data in the United States and abroad that could be used for WRTM
• Establish contacts with organizations that have suitable traffic d t i l t th d d t idata on inclement weather and determine procedures/requirements to obtain these data;
• Identify critical gaps in regards to the collection and y g p gprocessing of traffic data on inclement weather conditions
• Recommend strategies and generate guidelines for gathering and processing data that will be used in WRTMgathering and processing data that will be used in WRTM studies.Report: Data Mining and Gap Analysis for Weather Responsive Traffic
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p g p y pManagement Studies , 2010, http://ntl.bts.gov/lib/38000/38100/38165/HTML/dmga.pdf
Application of Mobile Data for WRTM McFarland
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WRTM• Identify and explore a range of mobile platforms as a
source of robust datasource of robust data• Develop algorithms and processing capabilities to
translate the mobile data into useable weather andtranslate the mobile data into useable weather and road condition observations
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