Demonstrating Safe Autonomous Vehicles for Everyday Commute
U.S. Department of Transportation NOFO # 693JJ319NF00001 Demonstrating Safe Autonomous Vehicles For Everyday Commute Submitted by: University of Virginia Charlottesville, VA Albemarle County, VA JAUNT Inc. Sonny Merryman, Inc. Charlottesville/Albemarle, VA Evington, VA Perrone Robotics, Inc. ARBOC Specialty Vehicles Crozet, VA Middlebury, IN Demonstrating Safe Autonomous Vehicles For Everyday Commute – Project Narrative and Technical Approach University_of_Virginia_Part1 U.S. Department of Transportation (USDOT) Federal Highway Administration (FHWA) 1200 New Jersey Avenue, SE Washington DC 20590 Attn: Sarah Tarpgaard, HCFA-32 Dear Ms. Tarpgaard: We are excited to respond to the U.S. Department of Transportation’s Automated Driving System Demonstration Grant (NOFO Number 693JJ319NF00001) with our enclosed proposal entitled: SAVvy Mobility - Demonstrating Safe Autonomous Vehicles For Everyday Commute submitted by the University of Virginia in collaboration with JAUNT Inc, Perrone Robotics Inc., Albemarle County, VA, Sonny Merryman, and ARBOC. We are requesting a total budget of $10M for a demonstration period of 24 months (Sep 2019-Aug 2021). Automated vehicles are rapidly becoming significant components of our nation’s critical infrastructure. While they hold promise for considerable benefits, they also bring with them urgent safety-critical challenges that must be addressed. In addition, as journeys become fully automated, the experience itself will need to become more accessible to all in our population. The safety, mobility, and economic benefits of highly automated vehicles should be accessible to everyone, and everywhere. The majority of automated driving demonstrations to date have focused on operation and impact in urban settings, with the testing of automated cab services. The perspective of the proposed demonstration is much broader: Automated transit vehicles could be the key to catalyzing the mobility for people living in small and medium sized suburban areas.
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