Researchers asked participants about their personal driving behaviors such as speed, changing lanes, accelerating and decelerating and passing other vehicles. They also asked them the same questions about their expectations of a self-driving car performing these very same tasks. The objective of the study was to examine trust and distrust to see if there is a relationship between an individual’s driving behaviors and how they expect a self-driving car to behave.
Samer Hamdar, an associate professor of civil and environmental engineering at the George Washington University, is partnering with Moment AI to launch a project aimed at developing AI systems that could one day prevent health-induced traffic accidents, including those linked to stress.
Oak Ridge National Laboratory and Department of Energy officials dedicated the launch of two clean energy research initiatives that focus on the recycling and recovery of advanced manufacturing materials and on connected and autonomous vehicle technologies.
There’s a fairly large flaw in the way that programmers are currently addressing ethical concerns related to artificial intelligence and autonomous vehicles (AVs). Namely, existing approaches don’t account for the fact that people might try to use the AVs to do something bad.
Computer scientists at Lawrence Livermore National Laboratory are preparing the future of commuter traffic by applying Deep Reinforcement Learning — the same kind of goal-driven algorithms that have defeated video game experts and world champions in the strategy game Go — to determine the most efficient strategy for charging and driving electric vehicles used for ride-sharing services.
New Brunswick, N.J. (Jan. 22, 2020) – Rutgers University–New Brunswick expert Cecilia Feeley is available for interviews on transportation and mobility issues for people on the autism spectrum. Feeley, transportation autism project manager at the Rutgers Center for Advanced Infrastructure and…
A new study by Cornell researchers developed a first-of-its-kind model to control traffic and intersections in order to increase autonomous car capacity on urban streets of the future, reduce congestion and minimize accidents.
Cornell Engineering has launched the Veho Institute for vehicle intelligence, formally partnering Cornell with Italian universities and luxury automakers as well as establishing a new academic center at Cornell Tech.
The University of Illinois at Chicago’s 2019 Urban Forum, titled “Are we there yet? The myths and realities of autonomous vehicles,” will examine the questions and uncertainties surrounding not only the societal and legislative impact of autonomous vehicles, but also the technological advances needed for these vehicles to proliferate.