An Overview of TTI Automated and Connected Vehicles Research

Transcription

1 An Overview of TTI Automated and Connected Vehicles Research Michael P. Manser, Ph.D. Human Factors Program Manager Associate Director of Safety Initiatives Center for Transportation Safety Texas A&M Transportation Institute

2 TTI Mission - Saving Lives, Time, and Resources To solve transportation problems through research To transfer technology and knowledge To develop diverse human resources to meet the transportation challenges of tomorrow Nearly 60 years of Implementing the Land Grant Mission in Transportation

3 Research by Functional Areas Planning 19% Transportation Operations 22% Safety/Human Factors 24% Structures 3% Materials /Pavements 16% Maintenance /Constr.2% Environ. 3% Economics /Finance /Policy 7% Security 4%

4 Statewide Research Network State-Wide Offices Arlington Austin Bryan College Station Dallas El Paso Houston San Antonio Pecos Center for Research and Testing Lamar University Prairie View A&M University Texas A&M International University Texas A&M University Commerce Texas A&M University Corpus Christi University of Texas El Paso Texas A&M University Galveston Texas A&M University Kingsville Texas Southern University West Texas A&M University

5 Activities Human Centered CV/AV Motorcycle Safety Forums Strategic Highway Safety Program Teens in the Driver Seat Crash Analysis Blood Alcohol Concentration Testing Workshop for Medical Examiners Click It or Ticket Evaluation

6 Driving Simulator

7 Texas A&M Riverside Campus Test Tracks 1900 acres, 1.5 miles straightaway

8 Pecos Center for Research and Testing Year Long testing, 9800 acres, 9 mi, 200 mph 9800 acres, 9 mile circular track Speeds up to 200 mph

9 Crash Modeling and Testing

10 TTI AV Research

11 Automated Connected Transportation Technology Policy Research Vehicle to Infrastructure Infrastructure Automated Vehicles Vehicle Human Factors Road User Connected Vehicles Infrastructure Cross-Cutting / Collaborative Research Highway Design, Arterial Street Operation, Travel Behavior, Travel Demand Modeling, Bicycle and Pedestrian Safety, Transit Safety and Operation, Freight Planning & Operation, Pavement Performance, Vehicle-based Pricing, Economic Analysis, Roadside Safety, Vehicle Automation.

12 Policy Implications of Disruptive Technology and the Internet of Things Scope: Identify and evaluate imminent disruptive communications technologies; assess their implications on state transportation policy and associated implementation strategies. Sponsor: TTI Policy Research Center Deliverable: legislative primer Schedule: FY2015 Funding: $51,000 PI: Michael Manser

13 Deploying AV/CV: Scenarios and Roadmap Scope: To develop AV/CV deployment scenarios, use these to determine future roadway infrastructure requirements, and develop a roadmap framework that can be used to draw implications for agency decision-making Sponsor: State of Texas Deliverable: Study report Schedule: 10/14 9/15 Funding: $100,000 PI: Johanna Zmud

14 Implications of Automated Vehicle Crash Scenarios Scope: Explore possible policy questions under crash scenarios involving automated vehicles, and evaluates what the state should do to protect the public, ensure safe operation of vehicles, and develop data retrieval and data management protocols. Sponsor: TTI Policy Research Center Deliverable: white paper, workshop Schedule: FY2015 Funding: $32,000 PI: Mo Poorsartep

15 ITS Program Legislative Research and Analysis Scope: develop understanding of legislative context of ITS technologies, funding, regulations, and other factors related to CV planning, deployments, and test beds, AERIS, and implementation of AV technologies. Sponsor: ITE for U.S. DOT JPO Deliverable: technical reports Schedule: FY Funding: $134,000 PI: Beverly Kuhn

16 Automated Vehicles Continuation: Data Privacy and Liability Scope: document state legislation managing data privacy for CV/AV, identify CV/AV data types, and research CV/AV liability issues. Sponsor: TTI Policy Research Center Deliverable: policy brief Schedule: FY2015 Funding: $134,000 PI: Jason Wagner

17 Vehicle Telematics as a Platform for Road Use Fees Scope: examine technologies and associated applications and the various communication languages supporting these technologies to assess their potential to support future road user fee measurement and reporting. Sponsor: TTI Policy Research Center Deliverable: policy report Schedule: FY Funding: $134,000 PI: Trey Baker

18 Travel Behavior Impacts of Automated Vehicles Scope: To examine the differential uptake of automated vehicles by age (or generation) and what this might mean for future travel behavior trends Sponsor: Texas Legislature through TTI Policy Research Center Deliverable: Study report Schedule: 10/14 9/15 Funding: $103,000 Picture PI: Johanna Zmud

19 Ricardo North America Truck Automation Scope: An exploratory research to identify the needs and requirements of the fleet Industry regarding truck automation Sponsor: Ricardo, N.A. Deliverable: Strategic Plan Schedule: 10 months Funding: $80,000 PI: Mo Poorsartep

20 Commercial Truck Platooning Scope: Create a first-of-its-kind comprehensive freight platooning demonstration in Texas. Sponsor: TxDOT Deliverable: Planning, Design, System Engineering and Prototype Development. Includes a working demonstration in Texas. Partners: Ricardo, Argonne National Laboratory, Denso, U.S. Army TARDEC, Navistar, TRW, Bendix, Lytx Schedule: FY Funding: ~$1.2 million (year 1) PI: Beverly Kuhn/Mo Poorsartep

21 Toyota Economic Loss Settlement Scope: Detect abnormal vehicle operation events and concurrently evaluate ways to reduce the likelihood of these events and assist the driver in recovering from them. Task 1 Reliably measure driver workload and stress levels using cutting-edge non-intrusive physiological measurement techniques Task 2 Determine feasibility of identifying abnormal vehicle operation or impending loss-of-control situations using existing vehicle sensors. Task 3 Determine appropriate driver feedback messages and adaptive/assistive mechanisms when abnormal driving patterns or driver stress levels are detected. Schedule: Jan 16, 2014 Jan 16, 2017 Funding: $3,168,000 PI: Robert Wunderlich

22 I-35 CV development and deployment showcase

23 I-35 Field Deployments Bluetooth travel time detection 40 segments, 2-5 miles in length ~20 additional segments AUS, SAN, DAL, FTW 19 Wavetronix radar detector sites 7 CCTV cameras sites 21 portable changeable message signs (PCMS) ~10 per direction at approximate10 mile spacing

24 Disseminating Travel Times 30 second data cycles 5-minute message updates 21 signs Signs procured via projects and rental Driven through TxDOT Lonestar software

25 Connected Work Zone Scope: USDOT grant to expand work zone lane closure, delay, and queue information to freight logistics and trucks using CV architecture. Sponsor: TxDOT Deliverable: Working demonstration in central Texas on I-35. Schedule: FY Funding: $2.5 million PI: Bob Brydia /Christopher Poe

26 An Overview of TTI Automated and Connected Vehicles Research Michael P. Manser, Ph.D. Human Factors Program Manager Center for Transportation Safety Texas A&M Transportation Institute

27 Vehicle/Infrastructure (Partial Automation) The Cedar Avenue DAS is the first lane-keeping application of vehicle assist and automation technology (VAA) in bus revenue service by a U.S. transit system.

28 Vehicle/Infrastructure (Partial Automation) Red Line = Lane Departure Warning White Box = Radar Target Red Box = 50 feet or 3 second TTC

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30 Cedar Ave. DAS Evaluation Report FTA Report 0010 Conducted by Natl. Bus Rapid Transit Institute Data collected in both passive and active mode Results Stayed in the shoulders 10 percent longer Drove 3 miles per hour faster Lateral movement was reduced by 5.5 inches Level of confidence in driving in the shoulder was greater when using the DAS, while 60 percent said it was the same. Drivers indicated that DAS use made driving in the shoulder safer and less stressful. There were zero accidents in the shoulder. Drivers raised concerns about one of the components the head-up display being a distraction.