100 likes | 206 Views
Human Interaction with Intelligent Transportation Systems Committee. Meeting 3 – August 24, 2011. Agenda. Committee Mission Framework for Implementing Technology in Vehicles Liaison between ITSA, SAE, ITU, and CEA World Congress Discussion Panel Featured Speaker: Dr. Linda Angell (VTTI)
E N D
Human Interaction with Intelligent Transportation Systems Committee Meeting 3 – August 24, 2011
Agenda • Committee Mission • Framework for Implementing Technology in Vehicles • Liaison between ITSA, SAE, ITU, and CEA • World Congress Discussion Panel • Featured Speaker: Dr. Linda Angell (VTTI) • Using Technology to Prevent and Reduce Distraction
Mission • To develop an understanding of the issues pertaining to drivers' use of ITS-related technology while driving • To disseminate this knowledge to the ITS America members so that it can be effectively leveraged
Transportation System Design • Personnel subsystem components arranged serially • Driver is the only component that can perceive, decide, and initiate driving response for a vehicle • Total Reliability = R1 x R2 x R3 x … x Rn • Total reliability always below weakest link • Driving task demands can exceed driver capabilities • Driver error accounts for 45% - 75% of roadway crashes • Technology can increase system reliability by arranging components in parallel to driver functions • Both driver and vehicle sensors can perceive threats • Both driver and algorithms can decide responses • RT = 1 – (1-R1)(1-R2)(…)(1-Rn) • Total reliability always greater than most reliable component • Key is for driver reliability to not degrade with additional components • e.g., Driver reliability dependent on HMI and trust in technology
Potential Ways to Safely Implement ITS • Driver-Optimized Interfaces • Needed to safely deliver information and mitigate driver distraction • Driver Assistance Systems • Travel advisory systems to improve driver expectation • Route selection, road and weather conditions • Indirect viewing systems to improve spatial awareness • Collision warning systems to direct attention to crash threat • Collision avoidance systems to initiate avoidance maneuver if driver fails to do so • Autonomous and semi-autonomous vehicles • Workload Management • Needed to adjust/deactivate technological components when driving task demands are high • Combination of Efforts • Help to uphold driver reliability • Increase total system reliability by adding redundancy from driver assistance systems
Committee Liaisons • ITSA Safety Forum member requested we establish a liaison with SAE’s DVI committee • SAE DVI committee’s objective is to provide expertise on Driver Vehicle Interface (DVI) issues pertaining to drivers engagement in discretionary secondary tasks • Chaired by Linda Angell (VTTI) and Jim Foley (Toyota) • SAE DVI committee also extending reach to ITU’s and CEA’s working groups on driver distraction • Currently working to establish quarterly meetings amongst committee representatives to establish a coordinated research effort
World Congress Session • Mitigating Driver Distraction through HMI Design: A Proposed Conceptual Framework for Safely and Effectively Implementing Technology in Vehicles • Experts amassed to discuss the unison of: • Driver Assistance Systems Raymond J. Kiefer, Ph.D. - Technical Fellow, GM Global Active Safety Electronics & Innovation, General Motors Company • Driver-Optimized Interfaces Thomas B. Schalk, Ph.D. - Vice President, Speech Technologies, ATX Technologies • Workload Management Linda S. Angell, Ph.D. - Research Scientist, Center for Automotive Safety Research, Virginia Tech Transportation Institute • Role of US DOT in Guiding Development Tim Johnson - Director, Office of Human-Vehicle Performance, National Highway Traffic Safety Administration
World Congress Session • What questions do you want the panel to discuss at WC? • Send requests to: Greg Fitch (gfitch@vtti.vt.edu)
Featured Speaker • Dr. Linda Angell, Research Scientist at VTTI “Using Technology to Prevent and Reduce Driver Distraction”
Surface Transportation System • Interaction of: • Personnel Subsystem – Drivers • Technological Subsystem – Vehicles • Environmental Subsystem – Infrastructure, Weather • Organization Design • Top-down: Laws, Enforcement, Education • Bottom-up: Individual Driver Behavior • Technology to increase cohesion between system elements Drivers Vehicles Infrastructure/ Environment Organizational Design