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Technical Paper

Low-Speed Autonomous Shuttles - Lessons Learned from Real-World Implementation

2021-04-15
2021-01-1010
Low-speed automated vehicles (LSAVs) are being deployed in various scenarios to enhance mobility for a wide variety of transportation users. LSAVs are typically highly automated battery-electric vehicles that transport up to eight passengers at speeds below 15 mph on predefined and previously mapped routes. Current applications include providing last-mile connectivity and serving as circulating shuttles in areas such as business districts, military bases, parking lots, and theme parks. An EasyMile EZ10 LSAV was deployed on a route between the Virginia Tech Transportation Institute (VTTI) campus and a nearby bus transit stop as part of a study focusing on prospective user attitudes and acceptance with regard to trust in technology, system safety, and personal security. The LSAV operated on this route within normal travel lanes and interacted with mixed public traffic that included the full range of transportation users from pedestrians to heavy vehicles.
Technical Paper

Animal-Vehicle Encounter Naturalistic Driving Data Collection and Photogrammetric Analysis

2016-04-05
2016-01-0124
Animal-vehicle collision (AVC) is a significant safety issue on American roads. Each year approximately 1.5 million AVCs occur in the U.S., the majority of them involving deer. The increasing use of cameras and radar on vehicles provides opportunities for prevention or mitigation of AVCs, particularly those involving deer or other large animals. Developers of such AVC avoidance/mitigation systems require information on the behavior of encountered animals, setting characteristics, and driver response in order to design effective countermeasures. As part of a larger study, naturalistic driving data were collected in high AVC incidence areas using 48 participant-owned vehicles equipped with data acquisition systems (DAS). Continuous driving data including forward video, location information, and vehicle kinematics were recorded. The respective 11TB dataset contains 35k trips covering 360K driving miles.
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