SlideShare une entreprise Scribd logo
1  sur  42
Télécharger pour lire hors ligne
 Intelligent Transportation Society of Connecticut   ,[object Object],14th Annual Meeting 	September 28, 2011,[object Object]
 Intelligent Transportation Society of Connecticut   ,[object Object],14th Annual Meeting 	September 28, 2011,[object Object],Ray Murphy,[object Object],[object Object]
Road Weather Management
Emergency Transportation Operations
Real – Time Data Management
+ 20 yrs Illinois Dept. of Transportation:
Operations, Maintenance, & Construction
ITS Project Manager
CEC Officer/Seabees & Engineer Mentor,[object Object]
Road Weather Information System (RWIS),[object Object],Environmental Sensor Station (ESS),[object Object],Existing RWIS installations:,[object Object],East Hartford,[object Object],Middletown,[object Object],Groton,[object Object],New London,[object Object],Lebanon,[object Object],Sikorsky Bridge,[object Object],New Haven,[object Object],Stamford,[object Object],North Canaan,[object Object],Torrington,[object Object],Avon Mountain,[object Object],Seymour,[object Object],Danbury,[object Object]
5,[object Object]
Environmental Sensor Stations,[object Object],2,253 Sensor Stations (ESS)    52,471 Individual Sensors,[object Object],6,[object Object]
The Clarus Initiative,[object Object],[object Object]
To do so, FHWA  created a robust
data assimilation,
quality checking, and
data dissemination system 	that can provide near real-time atmospheric and pavement observations from the collective states’ investments in environmental sensor stations (ESS).,[object Object],www.clarusinitiative.org,[object Object]
The Clarus System,[object Object],2011 National ITS Update,[object Object],www.clarus-system.com,[object Object],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.,[object Object],[object Object]
One database removes borders
Provides advanced quality checking for both atmospheric & pavement data
Includes extensive metadata
Easy access via web portal & subscription,[object Object]
Clarus System Observations,[object Object]
Clarus Users in 2010,[object Object],[object Object]
government agencies (federal, state, local)
academic institutions
weather providers
TV stations
private sector firms
unknown sources (Internet providers, etc.)
Clarus Users in 2009 - 314 unique addresses gaining access (59,000+ hits) from 19 countries,[object Object]
ClarusAccess Methods,[object Object],Map: 48%,[object Object],On-demand request: 26%,[object Object],Subscription:  22%,[object Object],Other:  4%,[object Object]
New Data Preferences,[object Object],Mobile Data: 81%,[object Object],Air Quality: 50%,[object Object],ASOS/AWOS: 46%,[object Object],Other: 20%,[object Object],Response Frequency,[object Object],14,[object Object]
Clarus System Survey - Summary,[object Object],Clear primary indicators:,[object Object],[object Object]
 Main use of data is monitoring current weather
 Map is the main access method
 Mobile data most desired of new sources,[object Object]
Demonstrate the ability of the Clarus System to process and provide data from large numbers of Environmental Sensor Stations (ESS)
Promote/educate on metadata collection
Foster proactive transportation system management in response to the weather
Encourage improved private sector services for road weather information enabled with data from the Clarus System
New software GOTS/open source,[object Object]

Contenu connexe

En vedette

The future of the connected vehicle - 29 July 2015
The future of the connected vehicle  - 29 July 2015The future of the connected vehicle  - 29 July 2015
The future of the connected vehicle - 29 July 2015Future Agenda
 
Infosys Connected Vehicle Service Offerings
Infosys Connected Vehicle Service OfferingsInfosys Connected Vehicle Service Offerings
Infosys Connected Vehicle Service OfferingsInfosys
 
Connected Car Conundrum (A Pecha Kucha Presentation)
Connected Car Conundrum (A Pecha Kucha Presentation)Connected Car Conundrum (A Pecha Kucha Presentation)
Connected Car Conundrum (A Pecha Kucha Presentation)Spatial Shift, LLC
 
Connected Vehicle 101 - US Department of Transportation
Connected Vehicle 101 - US Department of TransportationConnected Vehicle 101 - US Department of Transportation
Connected Vehicle 101 - US Department of TransportationAndy Palanisamy
 
Connected vehicle technology in business operations. Demands, approaches and ...
Connected vehicle technology in business operations. Demands, approaches and ...Connected vehicle technology in business operations. Demands, approaches and ...
Connected vehicle technology in business operations. Demands, approaches and ...Evgeni
 
Oracle Embedded Connected Vehicle
Oracle Embedded Connected VehicleOracle Embedded Connected Vehicle
Oracle Embedded Connected VehicleSteven Cull
 
Connected Vehicle Webinar for Training
Connected Vehicle Webinar for Training Connected Vehicle Webinar for Training
Connected Vehicle Webinar for Training Elaina Farnsworth
 
Denso presentation
Denso presentationDenso presentation
Denso presentationEmily Savage
 
BEB801 Thesis final presentation Marc Miska
BEB801  Thesis final presentation Marc MiskaBEB801  Thesis final presentation Marc Miska
BEB801 Thesis final presentation Marc Miskan7553625
 
Not Another Connected Vehicle paper
Not Another Connected Vehicle paperNot Another Connected Vehicle paper
Not Another Connected Vehicle paperJoe Gillis, PE, PMP
 
Internet Of Things in Automobile Industry
Internet Of Things in Automobile IndustryInternet Of Things in Automobile Industry
Internet Of Things in Automobile IndustryIEI GSC
 
Key Success Factors for Connected Vehicle, Ride-share and Multi-Modal Transpo...
Key Success Factors for Connected Vehicle, Ride-share and Multi-Modal Transpo...Key Success Factors for Connected Vehicle, Ride-share and Multi-Modal Transpo...
Key Success Factors for Connected Vehicle, Ride-share and Multi-Modal Transpo...Covisint
 
The Internet of Cars - Towards the Future of the Connected Car
The Internet of Cars - Towards the Future of the Connected CarThe Internet of Cars - Towards the Future of the Connected Car
The Internet of Cars - Towards the Future of the Connected CarJorgen Thelin
 
рс бр иббс 2.2-2009
рс бр иббс 2.2-2009рс бр иббс 2.2-2009
рс бр иббс 2.2-2009Sergey Erohin
 
Довести до заказа
Довести до заказаДовести до заказа
Довести до заказаSergey Protopopov
 

En vedette (20)

The future of the connected vehicle - 29 July 2015
The future of the connected vehicle  - 29 July 2015The future of the connected vehicle  - 29 July 2015
The future of the connected vehicle - 29 July 2015
 
Infosys Connected Vehicle Service Offerings
Infosys Connected Vehicle Service OfferingsInfosys Connected Vehicle Service Offerings
Infosys Connected Vehicle Service Offerings
 
Connected Car Conundrum (A Pecha Kucha Presentation)
Connected Car Conundrum (A Pecha Kucha Presentation)Connected Car Conundrum (A Pecha Kucha Presentation)
Connected Car Conundrum (A Pecha Kucha Presentation)
 
Connected Vehicle 101 - US Department of Transportation
Connected Vehicle 101 - US Department of TransportationConnected Vehicle 101 - US Department of Transportation
Connected Vehicle 101 - US Department of Transportation
 
Connected vehicle technology in business operations. Demands, approaches and ...
Connected vehicle technology in business operations. Demands, approaches and ...Connected vehicle technology in business operations. Demands, approaches and ...
Connected vehicle technology in business operations. Demands, approaches and ...
 
Oracle Embedded Connected Vehicle
Oracle Embedded Connected VehicleOracle Embedded Connected Vehicle
Oracle Embedded Connected Vehicle
 
Connected Vehicle Webinar for Training
Connected Vehicle Webinar for Training Connected Vehicle Webinar for Training
Connected Vehicle Webinar for Training
 
Denso presentation
Denso presentationDenso presentation
Denso presentation
 
BEB801 Thesis final presentation Marc Miska
BEB801  Thesis final presentation Marc MiskaBEB801  Thesis final presentation Marc Miska
BEB801 Thesis final presentation Marc Miska
 
Not Another Connected Vehicle paper
Not Another Connected Vehicle paperNot Another Connected Vehicle paper
Not Another Connected Vehicle paper
 
Internet Of Things in Automobile Industry
Internet Of Things in Automobile IndustryInternet Of Things in Automobile Industry
Internet Of Things in Automobile Industry
 
Connected Cars
Connected CarsConnected Cars
Connected Cars
 
Key Success Factors for Connected Vehicle, Ride-share and Multi-Modal Transpo...
Key Success Factors for Connected Vehicle, Ride-share and Multi-Modal Transpo...Key Success Factors for Connected Vehicle, Ride-share and Multi-Modal Transpo...
Key Success Factors for Connected Vehicle, Ride-share and Multi-Modal Transpo...
 
Connected Car Technology
Connected Car TechnologyConnected Car Technology
Connected Car Technology
 
The Internet of Cars - Towards the Future of the Connected Car
The Internet of Cars - Towards the Future of the Connected CarThe Internet of Cars - Towards the Future of the Connected Car
The Internet of Cars - Towards the Future of the Connected Car
 
The Connected Vehicle Ecosystem
The Connected Vehicle EcosystemThe Connected Vehicle Ecosystem
The Connected Vehicle Ecosystem
 
Metodos de estudio
Metodos de estudioMetodos de estudio
Metodos de estudio
 
TEGV Faaliyet Raporu 2011
TEGV Faaliyet Raporu 2011TEGV Faaliyet Raporu 2011
TEGV Faaliyet Raporu 2011
 
рс бр иббс 2.2-2009
рс бр иббс 2.2-2009рс бр иббс 2.2-2009
рс бр иббс 2.2-2009
 
Довести до заказа
Довести до заказаДовести до заказа
Довести до заказа
 

Similaire à Weather & the connected vehicle 092811

Seig seminar 2014 - A Smarter Way to Lower Emissions - Peter Cullen
Seig seminar 2014 - A Smarter Way to Lower Emissions - Peter Cullen Seig seminar 2014 - A Smarter Way to Lower Emissions - Peter Cullen
Seig seminar 2014 - A Smarter Way to Lower Emissions - Peter Cullen STEP_scotland
 
Introduction to the connected vehicle imsa 2015 annual conference
Introduction to the connected vehicle   imsa 2015 annual conferenceIntroduction to the connected vehicle   imsa 2015 annual conference
Introduction to the connected vehicle imsa 2015 annual conferenceJim Frazer
 
Tech Jam 2015: Connected Intelligent Transportation System “Complete View”
Tech Jam 2015: Connected Intelligent Transportation System “Complete View”Tech Jam 2015: Connected Intelligent Transportation System “Complete View”
Tech Jam 2015: Connected Intelligent Transportation System “Complete View”US-Ignite
 
Ray Murphy of FHWA host Chicago HS for Aricultural Sciences Shadow Day 02 08-12
Ray Murphy of FHWA host Chicago HS for Aricultural Sciences Shadow Day 02 08-12Ray Murphy of FHWA host Chicago HS for Aricultural Sciences Shadow Day 02 08-12
Ray Murphy of FHWA host Chicago HS for Aricultural Sciences Shadow Day 02 08-12raymurphy9533
 
Sss14duke BT Innovate Research Design
Sss14duke BT Innovate Research DesignSss14duke BT Innovate Research Design
Sss14duke BT Innovate Research DesignJustin Hayward
 
Locations big data its
Locations big data itsLocations big data its
Locations big data itsGeoMedeelel
 
Georgia Navigator 511
Georgia Navigator 511Georgia Navigator 511
Georgia Navigator 511Franciel
 
Posting travel times on dms webinar 042711
Posting travel times on dms webinar 042711Posting travel times on dms webinar 042711
Posting travel times on dms webinar 042711raymurphy9533
 
The Real World of Connected Vehicles
The Real World of Connected VehiclesThe Real World of Connected Vehicles
The Real World of Connected VehiclesMike Pina
 
Reliability Workshop Presentation
Reliability Workshop PresentationReliability Workshop Presentation
Reliability Workshop PresentationKittelson Slides
 
Estimation of road condition using smartphone sensors via c4.5 and aes 256 a...
Estimation of  road condition using smartphone sensors via c4.5 and aes 256 a...Estimation of  road condition using smartphone sensors via c4.5 and aes 256 a...
Estimation of road condition using smartphone sensors via c4.5 and aes 256 a...EditorIJAERD
 
Vadakpat-UAV Intelligent Transportation Workshop Slides
Vadakpat-UAV Intelligent Transportation Workshop SlidesVadakpat-UAV Intelligent Transportation Workshop Slides
Vadakpat-UAV Intelligent Transportation Workshop SlidesPrithviraj (Raj) Dasgupta
 
July 4 BluFax Demo Briefing
July 4 BluFax Demo BriefingJuly 4 BluFax Demo Briefing
July 4 BluFax Demo Briefingnelsondonnac
 
Traffic data fusion methodology
Traffic data fusion methodologyTraffic data fusion methodology
Traffic data fusion methodologyJumpingJaq
 
Application of gis and remote sensing in modern transport system
Application of gis and remote sensing in modern transport systemApplication of gis and remote sensing in modern transport system
Application of gis and remote sensing in modern transport systemSabhapathy Civil
 
Predictive Data Dissemination in Vanet
Predictive Data Dissemination in VanetPredictive Data Dissemination in Vanet
Predictive Data Dissemination in VanetDhruvMarothi
 
intelligent transportation system
intelligent transportation system intelligent transportation system
intelligent transportation system Mohammed Faazil
 
KAI - Arterial Performance Measures 02-03-10
KAI - Arterial Performance Measures 02-03-10KAI - Arterial Performance Measures 02-03-10
KAI - Arterial Performance Measures 02-03-10Kittelson Slides
 

Similaire à Weather & the connected vehicle 092811 (20)

Seig seminar 2014 - A Smarter Way to Lower Emissions - Peter Cullen
Seig seminar 2014 - A Smarter Way to Lower Emissions - Peter Cullen Seig seminar 2014 - A Smarter Way to Lower Emissions - Peter Cullen
Seig seminar 2014 - A Smarter Way to Lower Emissions - Peter Cullen
 
Introduction to the connected vehicle imsa 2015 annual conference
Introduction to the connected vehicle   imsa 2015 annual conferenceIntroduction to the connected vehicle   imsa 2015 annual conference
Introduction to the connected vehicle imsa 2015 annual conference
 
Tech Jam 2015: Connected Intelligent Transportation System “Complete View”
Tech Jam 2015: Connected Intelligent Transportation System “Complete View”Tech Jam 2015: Connected Intelligent Transportation System “Complete View”
Tech Jam 2015: Connected Intelligent Transportation System “Complete View”
 
Ray Murphy of FHWA host Chicago HS for Aricultural Sciences Shadow Day 02 08-12
Ray Murphy of FHWA host Chicago HS for Aricultural Sciences Shadow Day 02 08-12Ray Murphy of FHWA host Chicago HS for Aricultural Sciences Shadow Day 02 08-12
Ray Murphy of FHWA host Chicago HS for Aricultural Sciences Shadow Day 02 08-12
 
GDRR Opening Workshop - Transportation System Reliability: Challenges and Opp...
GDRR Opening Workshop - Transportation System Reliability: Challenges and Opp...GDRR Opening Workshop - Transportation System Reliability: Challenges and Opp...
GDRR Opening Workshop - Transportation System Reliability: Challenges and Opp...
 
Sss14duke BT Innovate Research Design
Sss14duke BT Innovate Research DesignSss14duke BT Innovate Research Design
Sss14duke BT Innovate Research Design
 
Locations big data its
Locations big data itsLocations big data its
Locations big data its
 
Georgia Navigator 511
Georgia Navigator 511Georgia Navigator 511
Georgia Navigator 511
 
Posting travel times on dms webinar 042711
Posting travel times on dms webinar 042711Posting travel times on dms webinar 042711
Posting travel times on dms webinar 042711
 
The Real World of Connected Vehicles
The Real World of Connected VehiclesThe Real World of Connected Vehicles
The Real World of Connected Vehicles
 
Reliability Workshop Presentation
Reliability Workshop PresentationReliability Workshop Presentation
Reliability Workshop Presentation
 
Estimation of road condition using smartphone sensors via c4.5 and aes 256 a...
Estimation of  road condition using smartphone sensors via c4.5 and aes 256 a...Estimation of  road condition using smartphone sensors via c4.5 and aes 256 a...
Estimation of road condition using smartphone sensors via c4.5 and aes 256 a...
 
Vadakpat-UAV Intelligent Transportation Workshop Slides
Vadakpat-UAV Intelligent Transportation Workshop SlidesVadakpat-UAV Intelligent Transportation Workshop Slides
Vadakpat-UAV Intelligent Transportation Workshop Slides
 
July 4 BluFax Demo Briefing
July 4 BluFax Demo BriefingJuly 4 BluFax Demo Briefing
July 4 BluFax Demo Briefing
 
Traffic data fusion methodology
Traffic data fusion methodologyTraffic data fusion methodology
Traffic data fusion methodology
 
Application of gis and remote sensing in modern transport system
Application of gis and remote sensing in modern transport systemApplication of gis and remote sensing in modern transport system
Application of gis and remote sensing in modern transport system
 
Predictive Data Dissemination in Vanet
Predictive Data Dissemination in VanetPredictive Data Dissemination in Vanet
Predictive Data Dissemination in Vanet
 
intelligent transportation system
intelligent transportation system intelligent transportation system
intelligent transportation system
 
KAI - Arterial Performance Measures 02-03-10
KAI - Arterial Performance Measures 02-03-10KAI - Arterial Performance Measures 02-03-10
KAI - Arterial Performance Measures 02-03-10
 
TSMO & Reliability
TSMO & ReliabilityTSMO & Reliability
TSMO & Reliability
 

Plus de raymurphy9533

Why Cyber Security is Important to the Transportation Ecosystem NHI IDC Ray M...
Why Cyber Security is Important to the Transportation Ecosystem NHI IDC Ray M...Why Cyber Security is Important to the Transportation Ecosystem NHI IDC Ray M...
Why Cyber Security is Important to the Transportation Ecosystem NHI IDC Ray M...raymurphy9533
 
Applying the nist framework to transportation systems mod 1 nhi instructor de...
Applying the nist framework to transportation systems mod 1 nhi instructor de...Applying the nist framework to transportation systems mod 1 nhi instructor de...
Applying the nist framework to transportation systems mod 1 nhi instructor de...raymurphy9533
 
Preparing for CV Deployment read ahead 9-8-18
Preparing for CV Deployment   read ahead 9-8-18Preparing for CV Deployment   read ahead 9-8-18
Preparing for CV Deployment read ahead 9-8-18raymurphy9533
 
Michael C. Murphy Celebration of Life by Ray 1-20-15
Michael C. Murphy   Celebration of Life by Ray 1-20-15Michael C. Murphy   Celebration of Life by Ray 1-20-15
Michael C. Murphy Celebration of Life by Ray 1-20-15raymurphy9533
 
Wydot tim 3 26-13 by ray murphy
Wydot tim 3 26-13 by ray murphyWydot tim 3 26-13 by ray murphy
Wydot tim 3 26-13 by ray murphyraymurphy9533
 
Ray Murphy of FHWA Chicago HS for Agricultural Sciences Career Day 05-11-12
Ray Murphy of FHWA   Chicago HS for Agricultural Sciences Career Day 05-11-12Ray Murphy of FHWA   Chicago HS for Agricultural Sciences Career Day 05-11-12
Ray Murphy of FHWA Chicago HS for Agricultural Sciences Career Day 05-11-12raymurphy9533
 
FHWA and Chicago HS for Agricultural Sciences shadow day 02-08-12 pictures
FHWA and Chicago HS for Agricultural Sciences shadow day 02-08-12 picturesFHWA and Chicago HS for Agricultural Sciences shadow day 02-08-12 pictures
FHWA and Chicago HS for Agricultural Sciences shadow day 02-08-12 picturesraymurphy9533
 
Brian Smith of FHWA Chicago HS for Agricultural Sciences Shadow Day 02-08-12
Brian Smith of FHWA   Chicago HS for Agricultural Sciences Shadow Day 02-08-12Brian Smith of FHWA   Chicago HS for Agricultural Sciences Shadow Day 02-08-12
Brian Smith of FHWA Chicago HS for Agricultural Sciences Shadow Day 02-08-12raymurphy9533
 
Dave Platz of FHWA Chicago HS for Agricultural Sciences Shadow Day 02-08-12
Dave Platz of FHWA   Chicago HS for Agricultural Sciences Shadow Day 02-08-12Dave Platz of FHWA   Chicago HS for Agricultural Sciences Shadow Day 02-08-12
Dave Platz of FHWA Chicago HS for Agricultural Sciences Shadow Day 02-08-12raymurphy9533
 
Tom Saad of FHWA Chicago HS for Agricultural Sciences Shadow day 02-08-12
Tom Saad of FHWA   Chicago HS for Agricultural Sciences Shadow day 02-08-12Tom Saad of FHWA   Chicago HS for Agricultural Sciences Shadow day 02-08-12
Tom Saad of FHWA Chicago HS for Agricultural Sciences Shadow day 02-08-12raymurphy9533
 
Larry O'Donnell of FHWA Chicago HS for Agricultural Sciences Shadow Day 02-...
Larry O'Donnell of FHWA   Chicago HS for Agricultural Sciences Shadow Day 02-...Larry O'Donnell of FHWA   Chicago HS for Agricultural Sciences Shadow Day 02-...
Larry O'Donnell of FHWA Chicago HS for Agricultural Sciences Shadow Day 02-...raymurphy9533
 
FHWA Overview - Chicago HS for Agricultural Sciences Shadow Day 02-08-12
FHWA Overview - Chicago HS for Agricultural Sciences Shadow Day 02-08-12FHWA Overview - Chicago HS for Agricultural Sciences Shadow Day 02-08-12
FHWA Overview - Chicago HS for Agricultural Sciences Shadow Day 02-08-12raymurphy9533
 
Rachael's baby shower chicago may 2011
Rachael's baby shower   chicago may 2011Rachael's baby shower   chicago may 2011
Rachael's baby shower chicago may 2011raymurphy9533
 
Moderator & speaker bios posting travel times on dynamic message signs webinar
Moderator & speaker bios   posting travel times on dynamic message signs webinarModerator & speaker bios   posting travel times on dynamic message signs webinar
Moderator & speaker bios posting travel times on dynamic message signs webinarraymurphy9533
 
Moderator & speaker bios posting travel times on dynamic message signs webinar
Moderator & speaker bios   posting travel times on dynamic message signs webinarModerator & speaker bios   posting travel times on dynamic message signs webinar
Moderator & speaker bios posting travel times on dynamic message signs webinarraymurphy9533
 
Moderator & Speaker Bios - Posting Travel Times on Dynamic Message Signs Webinar
Moderator & Speaker Bios - Posting Travel Times on Dynamic Message Signs WebinarModerator & Speaker Bios - Posting Travel Times on Dynamic Message Signs Webinar
Moderator & Speaker Bios - Posting Travel Times on Dynamic Message Signs Webinarraymurphy9533
 
ITS National Update 2011 3-01-11 SIU
ITS National Update 2011  3-01-11 SIUITS National Update 2011  3-01-11 SIU
ITS National Update 2011 3-01-11 SIUraymurphy9533
 

Plus de raymurphy9533 (20)

Why Cyber Security is Important to the Transportation Ecosystem NHI IDC Ray M...
Why Cyber Security is Important to the Transportation Ecosystem NHI IDC Ray M...Why Cyber Security is Important to the Transportation Ecosystem NHI IDC Ray M...
Why Cyber Security is Important to the Transportation Ecosystem NHI IDC Ray M...
 
Applying the nist framework to transportation systems mod 1 nhi instructor de...
Applying the nist framework to transportation systems mod 1 nhi instructor de...Applying the nist framework to transportation systems mod 1 nhi instructor de...
Applying the nist framework to transportation systems mod 1 nhi instructor de...
 
Preparing for CV Deployment read ahead 9-8-18
Preparing for CV Deployment   read ahead 9-8-18Preparing for CV Deployment   read ahead 9-8-18
Preparing for CV Deployment read ahead 9-8-18
 
Michael C. Murphy Celebration of Life by Ray 1-20-15
Michael C. Murphy   Celebration of Life by Ray 1-20-15Michael C. Murphy   Celebration of Life by Ray 1-20-15
Michael C. Murphy Celebration of Life by Ray 1-20-15
 
Wydot tim 3 26-13 by ray murphy
Wydot tim 3 26-13 by ray murphyWydot tim 3 26-13 by ray murphy
Wydot tim 3 26-13 by ray murphy
 
Ray Murphy of FHWA Chicago HS for Agricultural Sciences Career Day 05-11-12
Ray Murphy of FHWA   Chicago HS for Agricultural Sciences Career Day 05-11-12Ray Murphy of FHWA   Chicago HS for Agricultural Sciences Career Day 05-11-12
Ray Murphy of FHWA Chicago HS for Agricultural Sciences Career Day 05-11-12
 
FHWA and Chicago HS for Agricultural Sciences shadow day 02-08-12 pictures
FHWA and Chicago HS for Agricultural Sciences shadow day 02-08-12 picturesFHWA and Chicago HS for Agricultural Sciences shadow day 02-08-12 pictures
FHWA and Chicago HS for Agricultural Sciences shadow day 02-08-12 pictures
 
Brian Smith of FHWA Chicago HS for Agricultural Sciences Shadow Day 02-08-12
Brian Smith of FHWA   Chicago HS for Agricultural Sciences Shadow Day 02-08-12Brian Smith of FHWA   Chicago HS for Agricultural Sciences Shadow Day 02-08-12
Brian Smith of FHWA Chicago HS for Agricultural Sciences Shadow Day 02-08-12
 
Dave Platz of FHWA Chicago HS for Agricultural Sciences Shadow Day 02-08-12
Dave Platz of FHWA   Chicago HS for Agricultural Sciences Shadow Day 02-08-12Dave Platz of FHWA   Chicago HS for Agricultural Sciences Shadow Day 02-08-12
Dave Platz of FHWA Chicago HS for Agricultural Sciences Shadow Day 02-08-12
 
Tom Saad of FHWA Chicago HS for Agricultural Sciences Shadow day 02-08-12
Tom Saad of FHWA   Chicago HS for Agricultural Sciences Shadow day 02-08-12Tom Saad of FHWA   Chicago HS for Agricultural Sciences Shadow day 02-08-12
Tom Saad of FHWA Chicago HS for Agricultural Sciences Shadow day 02-08-12
 
Larry O'Donnell of FHWA Chicago HS for Agricultural Sciences Shadow Day 02-...
Larry O'Donnell of FHWA   Chicago HS for Agricultural Sciences Shadow Day 02-...Larry O'Donnell of FHWA   Chicago HS for Agricultural Sciences Shadow Day 02-...
Larry O'Donnell of FHWA Chicago HS for Agricultural Sciences Shadow Day 02-...
 
FHWA Overview - Chicago HS for Agricultural Sciences Shadow Day 02-08-12
FHWA Overview - Chicago HS for Agricultural Sciences Shadow Day 02-08-12FHWA Overview - Chicago HS for Agricultural Sciences Shadow Day 02-08-12
FHWA Overview - Chicago HS for Agricultural Sciences Shadow Day 02-08-12
 
RWM Strategies
RWM StrategiesRWM Strategies
RWM Strategies
 
Rachael's baby shower chicago may 2011
Rachael's baby shower   chicago may 2011Rachael's baby shower   chicago may 2011
Rachael's baby shower chicago may 2011
 
Moderator & speaker bios posting travel times on dynamic message signs webinar
Moderator & speaker bios   posting travel times on dynamic message signs webinarModerator & speaker bios   posting travel times on dynamic message signs webinar
Moderator & speaker bios posting travel times on dynamic message signs webinar
 
Moderator & speaker bios posting travel times on dynamic message signs webinar
Moderator & speaker bios   posting travel times on dynamic message signs webinarModerator & speaker bios   posting travel times on dynamic message signs webinar
Moderator & speaker bios posting travel times on dynamic message signs webinar
 
Moderator & Speaker Bios - Posting Travel Times on Dynamic Message Signs Webinar
Moderator & Speaker Bios - Posting Travel Times on Dynamic Message Signs WebinarModerator & Speaker Bios - Posting Travel Times on Dynamic Message Signs Webinar
Moderator & Speaker Bios - Posting Travel Times on Dynamic Message Signs Webinar
 
Jennifer
Jennifer Jennifer
Jennifer
 
Bob Koberlein
Bob KoberleinBob Koberlein
Bob Koberlein
 
ITS National Update 2011 3-01-11 SIU
ITS National Update 2011  3-01-11 SIUITS National Update 2011  3-01-11 SIU
ITS National Update 2011 3-01-11 SIU
 

Dernier

Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAAnypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAshyamraj55
 
OpenShift Commons Paris - Choose Your Own Observability Adventure
OpenShift Commons Paris - Choose Your Own Observability AdventureOpenShift Commons Paris - Choose Your Own Observability Adventure
OpenShift Commons Paris - Choose Your Own Observability AdventureEric D. Schabell
 
Cybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptxCybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptxGDSC PJATK
 
COMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a WebsiteCOMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a Websitedgelyza
 
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...UbiTrack UK
 
Bird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystemBird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystemAsko Soukka
 
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfIaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfDaniel Santiago Silva Capera
 
AI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just MinutesAI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just MinutesMd Hossain Ali
 
Designing A Time bound resource download URL
Designing A Time bound resource download URLDesigning A Time bound resource download URL
Designing A Time bound resource download URLRuncy Oommen
 
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDEADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDELiveplex
 
Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Adtran
 
UiPath Platform: The Backend Engine Powering Your Automation - Session 1
UiPath Platform: The Backend Engine Powering Your Automation - Session 1UiPath Platform: The Backend Engine Powering Your Automation - Session 1
UiPath Platform: The Backend Engine Powering Your Automation - Session 1DianaGray10
 
Empowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintEmpowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintMahmoud Rabie
 
Computer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsComputer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsSeth Reyes
 
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Will Schroeder
 
Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Brian Pichman
 
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...Aggregage
 
Machine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdfMachine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdfAijun Zhang
 
20230202 - Introduction to tis-py
20230202 - Introduction to tis-py20230202 - Introduction to tis-py
20230202 - Introduction to tis-pyJamie (Taka) Wang
 

Dernier (20)

Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAAnypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
 
OpenShift Commons Paris - Choose Your Own Observability Adventure
OpenShift Commons Paris - Choose Your Own Observability AdventureOpenShift Commons Paris - Choose Your Own Observability Adventure
OpenShift Commons Paris - Choose Your Own Observability Adventure
 
Cybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptxCybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptx
 
COMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a WebsiteCOMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a Website
 
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
 
Bird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystemBird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystem
 
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfIaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
 
AI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just MinutesAI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just Minutes
 
Designing A Time bound resource download URL
Designing A Time bound resource download URLDesigning A Time bound resource download URL
Designing A Time bound resource download URL
 
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDEADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
 
Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™
 
UiPath Platform: The Backend Engine Powering Your Automation - Session 1
UiPath Platform: The Backend Engine Powering Your Automation - Session 1UiPath Platform: The Backend Engine Powering Your Automation - Session 1
UiPath Platform: The Backend Engine Powering Your Automation - Session 1
 
Empowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintEmpowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership Blueprint
 
Computer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsComputer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and Hazards
 
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
 
Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )
 
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
 
Machine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdfMachine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdf
 
20150722 - AGV
20150722 - AGV20150722 - AGV
20150722 - AGV
 
20230202 - Introduction to tis-py
20230202 - Introduction to tis-py20230202 - Introduction to tis-py
20230202 - Introduction to tis-py
 

Weather & the connected vehicle 092811

Notes de l'éditeur

  1. The Federal Highway Administration’s (FHWA) Road Weather Management Program (RWMP) continues to support Intelligent Transportation Systems (ITS) applications that focus on roadway safety and mobility and at the same time promote technology deployments that help balance society’s need to protect the environment and maintain stable economic conditions. The program collaborates with NOAA, departments of transportation in each state, an important and vigorous private sector, the academic community, and professional societies such as the American Meteorological Society and other nongovernmental organizations, including the American Association of State Highways and Transportation Officials. This presentation will provide an overview of the Clarus system, including a review of recent enhancements, and an update on mobile observing of weather and road conditions – including the Connected Vehicle Technology Challenge and the VDT (Vehicle Data Translator).
  2. - Customers: who uses the data, how they use it, how they get it, how often they use it, etc- 28 sample size is not very big; doesn’t meet statisticalminimum of 30 especially for such a diverse community
  3. Respondents were asked what is their primary means of accessing the data. 48% of respondents use the map service.
  4. - Labeled new data “preferences” because survey question did not ask for “needs” per se,but “what data sources would be useful to their organizations”.- Note each response is independent from each other so %’s do not equal 100%.- Mobile data high rating because potential of mobile data getting a lot of “marketing” lately with smart phones, CV program, etc.
  5. - Org impact may be the result of some DOTs just deciding to be wx-wise or not.“Clear primary” means the majority or top results had significant margins from results at next level i.e. large difference in % from #1 and #2.
  6. Focus of this brief is last two bullets. ITS/JPO Open source guidelines are in draft and should be out mid-August.3 phases – utilize the Clarus system and evaluate2nd bullet Mission tag – ease of integration3rd – main emphasis – FHWA is seeding application development – build a software tool… further Phase 1: Request for Applications (RFA)Team approach/public transportation agenciesCreation of ConOps tailored to agencies’ needsRequires providing ESS data into the Clarus SystemPhase 2: Connection Incentive Program (CIP)Expand public agency participation in ClarusOffset some costs for metadata & data accessPhase 3: Development & DeploymentPrivate sector to build & test ConOps scenariosIndependent evaluation of the Clarus System & developed innovationsGovernment owed off the shelf but slide 3 is mostly bolder plate, this language has been around for years because the CRD isn’t going on that long (yeh-Ray) , really I think those 3 bullets talk to the 3 phases somewhat you know there was (Ray “ I have you on speaker so I can tape”) (ok) but I took out some of phase terminology because that’s all project management, but a big part of the Clarus recent demo was to actually utilize the Clarus System and then even evaluate it, so you might have heard or know about the fact that Merridian as well as the subcontractor on Nixon Hill they all did a system eval (evaluation) that’s that 1st bullet, you don’t need to spend a lot of time on it (got you), it’s all system data base focus, the 2nd one is kind of a general statement that’s almost the mission tag for the road weather program, because we are to obviously intergrade weather aspect into various transportation areas the easier make the data the easier you make the software tools available the easier it is to intergrade it rights so that’s what that 2nd bullet is. (ok), but the 3rd bullet is really were the Clarus regional demo I think it’s main emphasis were just like in the assess the government is seeding the application development and with the idea that it’s providing a base line software capability and the relationship with the state, so they get in bed with the state they learn the requirements, they learn the operation of the state and then they build the software tool 1st generation, 1st version and then hopefully the idea is that that seed further development, further integration of weather services so this CRD brief if focus on that 3rd bullet because we are going to talk about use case (ok) and then I just throw in on the bottom line the fact that the contract does spell out that all the software is government owned and then I’ll actually have the westside at the end of (Is that coss or goos – it’s government owned off the shelve; ok I am not familiar with that term) it the same coss right but its government owned software in this case ok, so that actually in contrast to the baa software development which is not government owned so all those little software enhancement that the various folks are doing out there that’s not federal highway owned software ok, but in the case of Clarus it is, so just mention that it goos (it’s government owned) and it will be opened source
  7. WRF (Weather Research and Forecasting) Model: a standard model used by NWS, academia and private weather service providers.Both teams ran their own WRF but it’s basically the same modelAssess the impact of Clarus data on weather and pavement predictions utilizing existing weather models to enhance atmospheric and pavement forecasting for surface transportation.- Typical weather model (like the WRF) ingest weather data from well over 10,000 observation sites throughout the atmosphere each hour. Total surface observation site density is about 3,000. NCAR varied the surface obs sites with 160 ESS points and Meridian varied those by ~400 or 2-4% of total model input (observed weather data)Advanced Research WRF (ARW):Meridian used a 3 1/3 kilometer grid spacing; MHI-NCAR 5 km grid spacingAccounts better for fine-scale terrain induced weather variationsImproves resolution of banded precipitationImproves the resolving of clouds and radiationProvides hourly output to support: Forecaster editing & validation with hourly observationsSeveral sets of …so on slide 5 and again you have probably have seen the objective language in these charts is ______ what the test or the studies did was they use various types of models, weather models, the road weather forecast system is basicly the guts of the NDSS if you didn’t know that’s their diecast system which uses a multi set weather model and then the road model is the metro model which again is also part of the NDSS and then Merridian use the precipitation analysis and blowing snow model to take, so what they did is they took worf weather output and shoved it into their sorry about that they use Clarus data to help analyze the precipitation field so they combine Clarus data with radar and satellite imagery to come up with an enhancer precipitation analysis and through that out put into a blowing snow model , so again focusing on the 2nd bullet both the Merridian and Incar basically just ran their models they didn’t develop any models they just took their existing models and said hey let’s see what our performance with Clarus data and without and that what the study was focus on ok, but I thought I would throw in the last bullet on the slide 5 to give you an idea of the scope the size of the Clarus data so people might think ooh you know you’re adding up all this Clarus data to the model s and really you are not you’re only adding to the 4% of the total observed weather data that‘s in the worf for example there is tons of other observation sources right like I was saying radar, satellite other observation site etc. there is a little background on the worf in the note section ( Ray, I am reading through it now) you don’t have to get into all those details that more in case you get some smart people and they ask questions – (Ray-exactly) there is some example – Merridian use the version of worf called vanceresearch it just has couple more bells and whistles and as you can see by the 1st bullet people might have a question about what’s the resolution what’s the spacing of this model and the grid point and I got that info in there so its 3 1/3 columeters for Merridianworf and 5 columeters for Incarworf, so hit the highlights of basically the bottom line is that you have several set of models and road weather related models and there is including Clarus and excluding Clarus data and seeing what the difference is. Chart 6 just depict the domain or the model area Nixion Hill and Incarr is you have to decide if you want to reference Incar or Nixon Hill you understand the relation there right (Ray – they were collaborating working together on use case 1) well Incarr did the vast majority of the work so Nixon Hill was the prime for use cases 1,3,4 like chart 4 says and they don’t have any meteorologist or weather expertise in Nixon Hill so they just sub that out to Incar I use Nixon Hill in the chart language you might end up like me going back and forth so just be aware of that I kind of generalize using Nixon Hill language so I just quickly show the map to give people a kind of zoom in version you might not even need to show chart 6 because the are information is really the same as chart 4 it show the upper Midwest for both area and then the thing that I do bring under the Nixon Hill 1st bullet there is that they use 5 case studies from 08 to 09 on particular weather events and those I have listed there the heavy rain, high winds scrawl lines cold and warm events you know what a scrawl line is? No – scrawl line is a line of thunder storms, a very strong cold front and a lot of thunder storms are brewed from it you said if I had to cut down t you indicated the chart 4
  8. Year round maint tool – familiar with MDSS – expanding to year round activities – the most difficult part…Paint analogy….
  9. Provide a coordination tool for events that will affect multiple – i.e. chemical spillPretty aggressive tool – pretty lofty – to do a inter-state - table top exercise DOTs (State & Local)Law EnforcementEmergency ManagementMulti-StateMulti-JurisdictionalPrimary objectives: Provide road conditions and strategies which improve coordination between agencies for the imposition of controls and dissemination of advisories Assist agencies in proactively responding to situations & thus mitigate the impact to travelers and 1st respondersTool helps to coordinate among agencies, define the weather threat, establish control actions, and monitors eventsDefinition of weather events similar to use case 3 methodologyMultiple web conferences can be set-up and monitored
  10. Forecasted weather info – the predicatedDid not go public wide – due to testingDid not put out predicted treatment…
  11. There may be more value in multi-state and forecast information via a web portal - “a picture is worth a thousand words”With current data availability, the system holds promise for alerting travelers to imminent travel problemsThe concepts have been well-received by both the participating DOTs and public evaluatorsThe system would potentially benefit from more detailed agency data (e.g., IT-equipped snowplows)
  12. IntelliDrive applications are grouped into the three main categories safety, mobility, and environmental. Example applications for each are shown. Discussion of what IntelliDrive
  13. The Clarus Initiative, established in 2004, is a multi-year program to organize and make available more effective environmental and road condition observation capabilities in support of four primary motivations: Provide a North American resource to collect, quality check, and make available surface transportation weather and road condition observations. Surface transportation-based weather observations will enhance and extend the existing weather data sources that will support general purpose weather forecasting. Collection of real-time surface transportation-based weather observations will support real-time operational responses to weather. Combining Clarus data with existing observation data will permit broader support for the enhancement and creation of models to enhance forecasts in the atmospheric boundary layer and near the earth’s surface.
  14. Clarus is one of the “ancillary” data source feeding into Stage II of the process; Clarus and other data are used to perform quality checks on the mobile data and possibly support/enhance the mobile data used to make the inferences/roadway hazard assessments in Stage III
  15. Use in combination with the Maintenance decision support systemResubmitted to Paul Pisano of FHWA for “weather” portion of Connected Vehicle programMDSS maintenance decision support system
  16. Derive data and communicationsrequirements for weather, road condition, and vehicle status variables from mobile platforms (Using State DOT vehicles as the source)Enhance and expand post-processing algorithms to turn the data into useful observations that are tied to existing mesonets (e.g., Clarus)Explore the use of these and other observations in weather-related decision support systems.Clarus will be transitioning over the next few years to the NWS mesonet as part of a “National Next Gen Network”. Schedule is TBDOther observations may include input from other mesonets and networks or State DOT information