Virginia Tech Transportation Institute @ Internet of Things DC Meetup - Nov 18, 2014
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Transcript of Virginia Tech Transportation Institute @ Internet of Things DC Meetup - Nov 18, 2014
Advanced Automotive ResearchReginald V iray
Research Assoc iate – Electr ica l Engineer
r v i ray@vtt i .v t .edu
Presentation Outline◦VTTI Overview◦VTTI Capabilities◦VTTI Projects◦Connected Vehicle Systems
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VTTI Overview#1 in federal grants and contracts
#1 in private sector contracts
Largest group of driving safety researchers in the world
Over 400 employees
12 Research Centers Including:Advanced Automotive Research
Automated Vehicle SystemsData Reduction and Analysis Support
Sustainable Mobility
Technology DevelopmentTruck and Bus Safety
Motorcycle Research Group
VTTI Capabilities
• System Performance•Human Factors•Human-System
Integration
Experimental Design
•Multi-Disciplinary Engineering
•Vehicle Instrumentation•Data Acquisition
Technology Development •Extract, Transform, Load
•Data Warehousing•High-Performance
Computational Resources •Real-Time Analysis
Information Technology
•Data Analysis•Data Mining•Data Reduction•Algorithm Development
Focused Research
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Smart Road◦ Officially opened in 2000 in co-
sponsorship with VDOT◦ Closed 2.2-mile Test Bed◦ Over 20,000 hours of
groundbreaking research◦ Advanced Communication & Control
Systems◦ Differential GPS Base Station◦ Inclement Weather Testing (Snow,
Fog, Rain)◦ Variable lighting configurations◦ Signalized Intersection
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Research Vehicles◦ Available for research projects◦ Instrumented with Data Acquisition
Systems (DAS)◦ Diverse vehicle fleet:
◦ Sedans◦ SUVs◦ Motorcycles◦ Semi-Truck◦ Motorcoach
◦ Unique capabilities:◦ Wireless Communications◦ Automation
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Technology Development◦ Multi-disciplinary engineering
center that create solutions to the ever-changing requirements of VTTI research centers and sponsors
◦ Specializes in developing, manufacturing, implementing, and maintaining innovative systems for transportation research
Data Acquisition SystemsVTTI develops state-of-the-art, data acquisition systems (DAS) that can discretely collect real-world vehicle kinematics and driver behaviors through integration of:◦ Vehicle CAN◦ RADAR◦ GPS◦ IMU◦ Multiple Camera Views
Customizable for projects on virtually any vehicle◦ Heavy Vehicles◦ Light Vehicles◦ Motorcycles◦ Bicycles
Information TechnologyMultiple Data Transfer Mechanisms
Petabyte Scale Scientific Data Warehouse
High Performance Computational Clusters
Web Enabled Data Reporting Applications
In-house Developers
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Human performance contributes to more than 90% of crashes◦A subset of factors creates the majority of the crash risk
◦ Impairment (primarily alcohol)◦ Inattention and distraction◦ Drowsiness ◦ Judgment-related error
◦Current methods of studying driver performance/behavior and their safety impacts have limitations
◦ Detailed pre-crash information is not available from crash databases
Naturalistic Driving Studies• VTTI is the pioneer in
naturalistic driving studies
• Housing more than 40 million miles (>2 PB) of continuous naturalistic data (video, audio, and kinematic data)
Naturalistic Driving Studies100-Car Study technical reports have been cited more than 1,200 times
Second Strategic Highway Research Program Naturalistic Driving Study (SHRP 2 NDS)
◦ The largest NDS ever conducted◦ Three-year data collection period◦ More than 3,100 participants, aged 16 to 98, in
NY, FL, WA, NC, IN, and PA◦ More than 3,300 vehicles◦ More than 700 crashes identified to date
(analyses are ongoing)◦ More than 5,000 near-crashes
Connected Vehicle Systems◦ We believe connected vehicles can answer
the following goals:◦ Improve safety
◦ State of good repair
◦ Economic competitiveness
◦ Livable communities
◦ Environmental sustainability
◦ Key activities that will enable widespread deployment need robust research
◦ USDOT Regional Deployment RFI◦ NHTSA ANPRM of vehicle-to-vehicle
communications◦ GM deployment announcement plans◦ FCC activities relating to the DSRC spectrum
This image first appeared on the cover of ITS International magazine, March/April 2014.
Bi-Directional Wireless Communications between Vehicles and Infrastructure
◦ Vehicle-to-Vehicle (V2V): Bi-directional information sharing between vehicles
◦ Vehicle-to-Infrastructure (V2I): Bi-directional information sharing between a vehicle and the roadway
Wireless communication channels used
◦ Cellular for most information that is not time critical
◦ Dedicated short-range communications (DSRC) for low-latency, robust, secure information
Connected Vehicle Systems• DSRC SAE J2735
Standard• 5.9 GHz Band – 75MHz
Bandwidth• ~300m Range• Basic Safety Messages
are transmitted at 10Hz• Basic Safety Message
Data Elements Include:• Latitude• Longitude• Elevation• Speed• Heading• Steering Wheel Angle
Two complimentary locations:◦ New River Valley:
◦ Smart Road: Comprehensive instrumentation for experimental procedures in testing and developing research
◦ Northern Virginia:◦ Fairfax County: I-66 and the parallel routes of 29 and 50 for real-world testing and
development
Strategic Partnership
• Virginia Tech Transportation Institute
• Virginia Department of Transportation
• Industry Partners
Applications span myriad areas; for example: ◦ Advanced Traveler Information System◦ Signal Priority ◦ Emergency Vehicle Preemption◦ Queue Warning◦ Incident Scene and Work Zone Alerts ◦ Probe-enabled Traffic Monitoring◦ Dynamic Transit Operations◦ Road Weather◦ V2V Imminent Safety
The Virginia Team continues to prioritize, develop, and deploy applications