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Status of ITS research May 6 2010 Peter Sweatman sweatman@umich

Status of ITS research May 6 2010 Peter Sweatman sweatman@umich.edu. David Kapp. University role in ITS research. Current university role is subsidiary Universities can assist ITS to be more transformative Where will the transportation funding come from? New funding models needed.

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Status of ITS research May 6 2010 Peter Sweatman sweatman@umich

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  1. Status of ITS researchMay 6 2010Peter Sweatman sweatman@umich.edu David Kapp

  2. University role in ITS research • Current university role is subsidiary • Universities can assist ITS to be more transformative • Where will the transportation funding come from? New funding models needed. • Universities are safety leaders and safety must go global • Large sectors beyond “transportation” are interested in ITS (energy, environment, sustainability); universities already have multiple interests

  3. Current University role is significant, yet subsidiary a) Innovation and development b) Demonstration and evaluation c) Policy and standards d) Deployment Universities have the capability to cover a) through c) at least Driver attention, response, behavior and attitudes are critical – major current university role – major data resources with minimal analysis Developing technologies and materials eg. wireless, cellular, sensors, intelligent materials Vehicle design and performance Infrastructure design, performance and maintenance Highway operations and traffic modeling

  4. Researching the components of the system • Drivers (2) • We don’t understand how people drive • Vehicles (7) • Safety, advanced modeling, sensors, situational awareness • Infrastructure (4) • Traffic operations, asset management, safety, ITS • Information technology (9) • Mobile devices, networks • Energy/environment (5) • Powertrains, fuels, electrification, smart grid IntelliDrive

  5. IVBSS Scope and Purpose • A 5 year effort to develop and field test integrated safety systems for passenger vehicles and heavy trucks • Safety systems will provide warnings for rear-end, lane change and road departure crashes in addition to arbitration of multiple crash threats • Forward crash warning, lane departure warning, lane change/merge warning, curve speed warning • Includes a one-year field test on public roads to determine system performance, safety benefits, and user acceptance

  6. Light Vehicle Sensor Coverage Lane-change/Merge (LCM) Radar Vision Lateral Drift Warning (LDW) Curve speed Warning (CSW) Forward Crash Warning (FCW)

  7. Phase II – 27 months Phase I – 30 months Pilot Vehicles Prototype Vehicles Engineering Development Vehicles Extended Pilot FOT FOT Data Collection Nov 2005 Nov 2006 June 2008 Nov 2008 Feb 2009 August 2010 Timeline - Vehicle Deployment

  8. ACAS FOT (GM/Delphi/UMTRI) RDCW FOT (UMTRI/Visteon) U.S. DOT Field Operational Tests Conducted by UMTRI Heavy Trucks - Rollover Light Vehicles – ACC ICC FOT RSA 480K mi, 23 drivers Light Vehicles – Forward Crash/ACC 131K mi, 108 drivers ACAS FOT 110K mi, 96 drivers Light Vehicles– Lane Departure/Curve Speed RDCW FOT 137K mi, 78 drivers Light Vehicles & Heavy Trucks – Multiple Systems Est. 750K mi150+ drivers IVBSS 1990 2010

  9. Modeling of IntelliDrive • Simulates the movements of individual vehicles • Simulates interactions with • Road geometry • Other vehicles • Traffic signals • Variable message signs • Incidents • Pedestrians • Offers an extensive application programming interface • Allows a wide array of new functionalities to be modeled • Allows overriding of driver behavior models

  10. U.S. DOT VII Proof-of-Concept Testbed Novi Detroit

  11. IntelliDrive System Modeling Concept Applications associated with the network or specific simulation objects Simulation of RSEs using VMS Beacons Data storage within link objects used a emulator of link-based database at a central server Snapshot generation to be performed by vehicles Snapshots to remain within vehicle until upload by an RSE

  12. The system we have now Historic reduction of 9000 fatalities Fuel economy Price of gasoline We don’t know where the levers are Unemployment

  13. 1/Fuel economy Distance driven Carbon dioxide -8% -12%

  14. Distance driven Fatalities

  15. “System” data is at a primitive stage • Safety is trying to change human behavior in critical situations • Design of the interface between driver and technology • Avoiding unintended consequences • Setting standards • Minimum performance standards • Ratings • While technology rapidly evolves • Measuring effectiveness • Crash studies • Near-crash studies (eg. SHRP 2) • Warning rates from driver assist systems

  16. Video Current Data Visualization

  17. As we move to a system with defined end states and variables • This will be a complex system • Discontinuities, tipping points • We will need open data systems, not only for developers and entrepreneurs but also for to monitor the system state • Unintended consequences

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