The study tested 40 individuals starting at 18 years old to 55 years plus. Each driver was placed in a car simulator capable of handling both human and autonomous driving. The test measured response times and vehicle drift from a centerline under several different scenarios.
Each driver was placed in a car simulator capable of handling both human and autonomous driving.
MTI
Key results showed that between two different speed settings (high speed of 65 mph and a low speed of 55 mph), the lower speed yielded better performance.
Out of all the three different age groups tested, the older participants performed better in overall driving and driving after autonomous technology failure.
Researchers also found that individuals tended to increase their speed and steer after taking control of the vehicles, as opposed to braking. About half of the drivers also reported not seeing the visual warning on the central console but did hear the auditory warnings.
The report takes into consideration how AVs can affect roadways and drivers. It gives suggestions on what mobility and infrastructure changes may need to be implemented to ensure safety while operating autonomous technologies.
A major goal of the pilot, which begins in April, is to test the speed, functionality, and durability of new handheld devices to scan Ventra and paper tickets.
Traditionally, bus lane enforcement has relied on manual processes carried out by transit police or parking enforcement officers. While it may be effective in certain municipalities, this approach is resource-intensive and very difficult to sustain.
A phased approach to technology, in-house capabilities, and workforce investment is helping transportation leaders break the reactive cycle and build more resilient, revenue-focused operations.
The landmark event empowers riders across six agencies in the Puget Sound region to tap-and-ride transit using a contactless credit or debit card or a mobile wallet.
Now in its latest edition, the awards recognize forward-thinking solutions that improve safety, operational efficiency, sustainability, rider experience, and overall system performance.
Menard discusses how data-driven signal prioritization is improving efficiency, reliability, and ridership, while offering insight into the innovations driving the next generation of smart mobility. Together, they explore how technology and collaboration are paving the way for a more connected, sustainable future in transit.
The pilot program showcases two companies’ technology at eight bus stops. The companies submitted their ideas through the Transit Tech Lab, which is backed by the Partnership Fund for New York City and provides an accelerated pathway for early to growth-stage companies to solve public transportation challenges for the largest transit agencies in North America.