GW Expert: Self-Driving Taxi Service Waymo Expands into Two California Cities

Waymo, Alphabet’s robotaxi service, is now expanding service into Los Angeles and the San Francisco Bay Area after California state regulators gave the autonomous vehicles the green light. According to Quartz,  the decision “will be Waymo’s biggest test since it first…

How road rage really affects your driving – and the self-driving cars of the future

In the first study to systematically identify aggressive driving behaviours, scientists have measured the changes in driving that occur in an aggressive state. Aggressive drivers drive faster and with more mistakes than non-aggressive drivers – putting other road users at risk and posing a challenge to researchers working on self-driving car technology.

Do Passengers Want Self-driving Cars to Behave More or Less Like Them?

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.

GW Receives Funding to Develop Artificial Intelligence Systems Aimed at Helping People with Health Problems Drive Safely

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.

What If People Use Autonomous Vehicles To Do Bad Things?

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.

LLNL computer scientists explore deep learning to improve efficiency of ride-hailing and autonomous electric vehicles

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.

Rutgers Expert Available to Discuss Autism and Transportation Issues

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…

UIC Urban Forum to explore the growth, potential impact and future of autonomous vehicles

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.