Road Weather Management Road Weather Management ProgramProgram

The FHWA Program for ITS Requirements, The FHWA Program for ITS Requirements, Development and Operations Research Development and Operations Research

Paul PisanoFHWA/HOTO

paul.pisano@fhwa.dot.gov202 366 1301

To The National Hurricane Conference

April 9/10, 2001

Gary G. NelsonMitretek Systems Inc.gnelson@mitretek.org

202 488 5718

FHWA/Mitretek2

OutlineOutlineOverview of the FHWA Road Weather

Management Program.

Decision Support Development

Overview of the Maintenance Decision Support System (MDSS) project and the National Labs

How this relates to Emergency Management

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Federal Road Weather Programs

Federal Highway Administration

FHWA

Operations Core Business Unit

Christine Johnson

HOP

Office of Transportation Operations

Shelley Row

HOTO

Paul Pisano

HOTO

Highway Research

Gary Larsen

HRD

Rudy Persaud

HRDO

ITS Joint Program Office

Jeff Paniatti

ITS-JPO

Committees

Weather Information for

Surface Transportation

(JAG-WIST)

Integrated Observing

Systems (CIOS)

National Weather Service

NWS

Public and Fire Weather

Jim Lee

American Association of

State Highway and Transportation

Officials

AASHTO

Office of the Federal

Coordinator for Meteorology

Sam Williamson

OFCM

FHWA

Road Weather Program

Other USDOT Agencies

FAA, FTA, FRA, RSPA, USCG

FEMA

George Schoene

Al Benet

HOTO

EmergencyManagement

Program

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Road Weather Management Program Goals

1. Develop improved weather information systems that meet the demands of all users and operators;

2. Develop improved maintenance technologies for winter mobility, and;

3. Develop traffic operations/incident management procedures under all weather events.

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DecisionSupport

TransportationImpact

WeatherOperationalTechniqueDecision

Surface Transportation Weather Decision Support Requirements (STWDSR) Project

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MDSS

Major STWDSR DocumentsFHWA Weather

Team White Paper

1997-98

STWDSR V1.0 Needs

1999

Stakeholder Meetings

Feb, May 2000

STWDSR V2.0 Operational Concept Definition (OCD)

July, 2000

STWDSR V2.0 Preliminary Interfaces Requirements (PIR)

October, 2000

STWDSR V3.0/V4.0

TM/EM/Traveler Needs

Impacts/Benefits

Operational Test Requirements

Mar., Sept., 2001

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References

Electronic Documents Library

www.its.dot.gov/welcome.htm• White Paper

• STWDSR V1.0

• STWDSR V2.0: OCD

• STWDSR V2.0 PIR

• STWDSR V2.0 Executive Summary

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Maintenance Decision Support System (MDSS) Project

• One realization of the STWDSR Operational Concept Definition (OCD) for winter road managers

– Set of functions implemented

– Set of needs served

• Continues STWDSR stakeholder alliance

– National Labs will develop non-exclusive components

– State DOTs will operate

– Vendors will provide and integrate into Road Weather Information System (RWIS)

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Federal Highways Administration (FHWA)Office of Transportation Operation (HOTO)

Paul PisanoRudy Persaud

Mitretek Systems

Gary Nelson

Maintenance Decision Support System (MDSS) Project

Cold Regions Research & Engineering Lab (CRREL)MDSS Programmatic Lead Lab

George Blaisdell (Project Mgr.)

National Centerfor Atmospheric Research (NCAR)

MDSS Technical Lead Lab

Bill Mahoney (Project Mgr.)Rich Wagoner (Oversight)

Multiple Contracts

Single Contract

MITLincoln Lab

Bob Hallowell

NOAANational Severe

Storm Lab

John Cortinas

NOAAForecast Systems

Lab

Paul Schultz

NOAAEnvironmentalTechnologies

Lab

Dan Wolfe

Federal Highway Administration (FHWA)

PaulPisano, HOTO-1

AOTR: Rudy Persaud, HRDO-04Mitretek Systems

Gary Nelson

Maintenance Decision Support System (MDSS) Project

Cold Regions Research & Engineering Lab (CRREL)MDSS Programmatic Lead Lab

George Blaisdell (Project Mgr.)

National Centerfor Atmospheric Research (NCAR)

MDSS Technical Lead Lab

Bill Mahoney (Project Mgr.)Rich Wagoner (Oversight)

Multiple Contracts

Single Contract

MITLincoln Lab

Bob Hallowell

NOAANational Severe

Storm Lab

John Cortinas

NOAAForecast Systems

Lab

Paul Schultz

NOAAEnvironmentalTechnologies

Lab

Dan Wolfe

NCAR

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MDSS: BenchmarksMDSS: Benchmarks Prototype Phase

First Prototype Review Operational test pre-bid meeting (CRREL, 21-

22 June) Prototype demonstration (September)

Operational Test Phase Notice of Intent (April) RFP (May) Award (September) Initial Operating Capability (August, 2002) Test and evaluation (winter 02-03)

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•Our information systems should survive the most

severe threats.

•There has to be an operational continuum from the mundane to the severe.

•Our physical infrastructure may not survive the most

severe threats.

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Decision Scales

ScalesSpace-time Domain Decisions

Climatic(Planning)

Synoptic/Meso(Operational)

Micro(Warning)

Organization, Facilities,Procedures, Consumables

Monitoring, Mobilization,Landfall-Evacuation,

Route/Traffic Mgt.,Incident ResponseSearch and Rescue

Flash-Flood Evacuation,Facility Failure Warning

Inter-Statemonths-years

States/Districtshours-days

Districts/Watershedssub-hours

Watershed/Structure-Focused

Landfall-Focused

ContingencyPlanning

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In the 10 deadliest storms, there were 264 fatalities (78%) from inland flooding.

Most of these were associated with drowning and vehicles.

StormSurge

Tornado HighSurf

Winds InlandFlooding

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Evacuation: Floyd Results Evacuation: Floyd Results 3 million (est.) people were evacuated from Florida, Georgia,

North and South Carolina, resulting in record congestion problems.

Techniques included:

Mobilizing and prepositioning personnel and equipment,

Opening evacuation shelters,

Executing staged evacuations,

Reversing traffic flow during evacuation,

Altering traffic flow to enable at least one counter-flow lane,

Opening shoulder lanes to traffic and closing roadways,

Disseminating information to evacuees (e.g., residents, tourists),

Communicating with neighboring state agencies.

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Traveler Information

RoadwayEnvironment

Mobile Obsand

VehicleControl

Inter-VehicleCommunication

or“Smart Cruise Control”

RoadwayEnvironment

Mobile Obsand

VehicleControl

Transponders

Dynamic Message Signs

Operational ScaleEnvironmental Information

and Management

Other (wireless)

Roadside

Sensors

Information Service ProvidersSpecialized Traveler/Hazard Info.

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Trip Generation/

Distribution

Road Conditions and Network Modeling

Assignment

Trip Generation/

Distribution

Assignment

Static Modeling DynamicModeling

Road Condition Scales

Synoptic(12 hrs)

Micro<minutes

DirectObs.

Mode Split

Intra-ModelFeedbacks

MajorThreat

(high risk)

Re-route?

ThroughputEffects

Quasi-StaticConstraints

Mode Split

TightBehavioralCoupling

TypicalISP

SpecialRoad

Report

Updates orContingencies

Planning/Climatic

Scale

Normal?Conditions

orContingencies

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ITS and Emergency ManagementITS and Emergency Management Better threat information

Better monitoring of road conditions

Decision support=information fusionSupport of risk decision making

Open systems for shared information and coordination

inter-agencyinter-jurisdiction

Survivable systems, adaptable techniques

Better information to travelers/evacuees

Time saved = lives saved

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