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Safety Data and Analysis Center(STAC)

Traffic Records Forum10/27/2015

Carol H. Tan, PhDTeam Leader, Safety Data & Analysis

Office of Safety Research & DevelopmentFederal Highway Administration

• STAC goals• Support contracts• (The data: NDS/ RID) – TBD• Actions to support STAC goals:• Training• Secure remote access• Tools and reduced data sets• Research

Overview

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STAC CUSTOMERS

Primary audience– State DOTs– USDOT– Federal Agencies

Support the U.S. DOT Research Agenda

• Expand understanding of the SHRP 2 NDS and RID • Training development – support from NDS and RID contractors

with NHI

• Expand access to these data, incl. PII• Pilot test secure data access – NDS contractor with TFHRC IT and

STAC

• Expand usability of these data • Data analysis tools and reduced data set development–NDS

and RID contractors, EAR contractors (video analytics)

• Expand user base • Research opportunities – RFPs, Fellowships, Sabbaticals

Review STAC goals

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Support contracts

NDS Contractor: VTTISigned: 9/21/2015Tasks:• Secure remote access • Training development • Reduced data sets

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RID contractor: CTRESigned: 9/21/2015Tasks:• GIS tool development• Training development• Reduced data sets

RIDNDS

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SHRP2 Safety Data

Naturalistic Driving Study

RID(GIS)

Roadway Information Database

NDS Data

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RID(GIS)

SHRP2 Safety Data

Naturalistic Driving Study Roadway Information Database

System captured for first time

NDS Data

Driver Data Context

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Road Conditions

Driver Behavior

Traffic Control Other VehiclesRoad Design

Vehicle Sensors

Signage

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NDS Data

3,000 + Participants

5.4 Million trips – 30+ million miles

Passenger car, Van, SUV, Pickup 1,465 crashes

1 Million hours continuously recorded video (exposure data)

NDS States

Data Acquisition System

Front Turn Signals

Head Unit

Rear looking camera

Radar UnitRadar Interface Box

Fuse BoxOBD Connector

DAS Main Unit

GPS WiFi Antenna

Driver, Driving, Veh.•Vehicle type•Multiple Videos•Computer Vision

– Lane Tracker•Accelerometer Data (3 axis) •Rate Sensors (3 axis)•GPS•Forward Radar

– X and Y positions– X and Y Velocities

•Illuminance sensor•Infrared illumination•Passive alcohol sensor•Incident push button

– Audio (only on incident push button)

•Vehicle network data

– Accelerator– Brake pedal activation– ABS– Gear position– Steering wheel angle– Speed– Horn– Seat Belt Information– Airbag deployment– Turn signals– Many more variables…

Driver/ Participant Data:• Age & Gender• Visual perception• Visual–cognitive ability • Psychomotor ability• Physical ability• Health and medication

status • Psychological factors• Driving knowledge • Driving history

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RID Data

Mobile Van

12,500 Centerline miles

25,000 miles driven

Intersection

Curve

Grade

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Data Element

• Curvature Length

• Curvature Radius

• PC/PT

• Grade (+ or -) and Cross Slope/Super Elevation

• Lane Width/Type

• Paved Shoulder Width/ Shoulder Type

• Signs (location and message) All MUTCD

• Barriers/ Guardrail (location and Type)

• Intersection Information (incl. control type)

• Presence of Lighting/Medians/Rumble Strips

• Front ROW Video Log

Mobile Data: Specs & QA – Consistent across 6 states

Courtesy Omar Smadi, CTRE

WA – 4,280 miles

FL – 4,370 miles

IN – 4,635 miles

NC – 4,480 miles

NY – 3,650 miles

PA – 3,670 miles

WA – 4,280 miles

FL – 4,370 miles

IN – 4,635 miles

NC – 4,480 miles

NY – 3,650 miles

PA – 3,670 miles

518,570 signs

44,114 curves

7,376 miles lighting

43,195 intersections

11,852 miles of rumble strips10,756 miles of median

6,129 miles of barriers

33,013 miles of paved/unpaved shoulders

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RID Data

Acquired Data

200,000 Centerline miles

Weather

Traffic

7 years crash histories

Safety Laws

511 incl Work Zones

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Safety Training and Analysis Center

FHWA Turner-Fairbank Highway Research Center

Training

STAC working with FHWA’s National Highway Institute (NHI ) and NDS and RID support contractors to develop training

Two general types of training will be developed:I. High level for decision makers II. Detailed, hands-on suitable for analysts

Detailed training will begin with pilot sessions • Two with USDOT staff and onsite contractors (1st April 2016)• Two with state DOTs and research partnersThese pilots will help us refine the material that NHI will turn into ‘official’ instructional training 19

Stages of remote access

• Stage 1: Testing with non-PII data - approved at March 2015 SDOC meeting (now till Spring 2016)

• Stage 2: Testing with PII – after successful demonstration of Stage 1

• Stage 3: Secure remote access to PII- will seek SDOC approval following successful demonstration of Stage 2

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Tools and reduced data sets

• Exploratory Advanced Research (EAR) video analytics projects to enhance usability of NDS data (semi-automate processes):• Identity masking• Driver behavior • Signal state

• GIS dynamic segmentation tool – for non-GIS savvy users

• Reduced data sets (NDS and RID) – to support pilot studies

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• Fellowships – NRC, Eisenhower, STPDG

• Stipends – John Ivan, UConn., is on-site at TFHRC

• NDS/RID cross-cutting Pooled Fund (Safety-Operations-Planning)

• Implementation Assistance Program (IAP)• FHWA/AASHTO sponsored

• BAA• FHWA sponsored

• Internal FHWA 22

Research

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Research –IAPs

Adverse Weather ConditionsInvestigating how weather conditions affect speed behavior and drivers

Wyoming DOT

Horizontal and Vertical CurvesEvaluating the interaction of traffic on rural, two-lane roads

Interchange RampsAssessing driver behavior near closely spaced interchange ramps

North Carolina DOT

Utah DOT

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Roadway DepartureInvestigating the roles of the driver and roadway characteristics in crashes

Roadway LightingIdentifying the role roadway lighting conditions play in crashes

Speeding• Assessing how speed limits on certain types

of roadways affect driver behavior• Examining episodic speeding

Iowa DOT

Washington DOT

Michigan DOTWashington DOT

Research –IAPs

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Michigan DOT Washington DOT

Work ZonesDetermining the role played by speed and distractions in and around work zone crashes

Pedestrian Safety• Understanding the interactions between

pedestrians and drivers at signalized intersections

• Assessing the influence of different factors on pedestrian crashes at intersections

• Analyzing pedestrian safety and high-visibility markings

Florida DOTNevada DOTNew York State DOT

Research –IAPs

FHWA SHRP2 BAA

Proposal Solicitation:– “This BAA aims to address highway safety challenges by

funding research using the SHRP2 NDS and RID data to support the vision and goals of the FHWA [Office of Safety Research and Development]”

Two Phases– Phase 1: Multiple awards @ $100,000 / study– Phase 2: 2-3 awards @ $750,000 / study

FHWA SHRP2 BAAProposals were due August 6, 2015Significant Interest– 15 Different State Partners Proposed– Proposals from Universities, Transportation Research Centers, and

Private Industry– Topic areas addressed foundational research, countermeasure

development, and improved guidance related to highway safety

Anticipate Making 8 Awards in Phase 1– Includes 12 State Partners– Broad Selection of Topic Areas

• Complimentary with IAP projects

FHWA Internal SHRP2 Research

Underway:Examining Driver Behavior Entering Rural High Speed Intersections GIS Linkages with the SHRP2 RID – Phase IIStatistical Methods for Analyzing NDS Data Intersection Safety Research using the SHRP2 Safety Data Basic Safety Message as Predictor of Crashes

In planning include: Complex Interchange Human Factors AnalysisUsing SHRP2 Safety data to validate rollover/roadside crash modelsEffectiveness Analysis of Rumble Strips Using SHRP2 Safety Data

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Contact

Safety Training and Analysis Center– www.fhwa.dot.gov/research/resources/stac/index.cfm

Federal Highway AdministrationOffice of Safety Research and DevelopmentTurner-Fairbank Highway Research Center

6300 Georgetown PikeMcLean, VA 22101

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ContactAladdin Barkawi, PhDSHRP2 Safety Implementation Coordinator, IAPsEmail: aladdin.barkawi@dot.gov

Craig Thor, PhDResearch Civil Engineer, BAAEmail: craig.thor@dot.gov

Charles FaySHRP2 Safety Research Manager, STACEmail: charles.fay@dot.gov

Yusuf MohamedshahSHRP2 Research Analyst, STACEmail: yusuf.mohamedshah@dot.gov