Study measures how fast humans react to road hazards
In “semiautonomous” cars, older drivers may need more time to take the wheel when responding to the unexpected.
In “semiautonomous” cars, older drivers may need more time to take the wheel when responding to the unexpected.
Study quantifies how much of Manhattan 10 taxis cover in a day — to better measure air pollution, traffic, and more.
One-day workshops bring executives into the “inner sanctum” of motor sports for innovative insights with real-world applications.
Autonomous control system “learns” to use simple maps and image data to navigate new, complex routes.
Long-haul trucks with electric motors combined with gas-alcohol engines could slash pollution levels and greenhouse gases.
Senior and Marshall Scholar Crystal Winston pursues her vision of a world where cars aren’t limited to roads.
The Carbin app, from a Concrete Sustainability Hub researcher, promises users an unprecedented understanding of pavement quality.
On-chip system that detects signals at sub-terahertz wavelengths could help steer driverless cars through fog and dust.
Model identifies instances when autonomous systems have learned from examples that may cause dangerous errors in the real world.
Rivian Automotive is showing off its first products at the Los Angeles Auto Show this week.
Massive global survey reveals ethics preferences and regional differences.
Real-world driving produces up to 16 times more emissions, causing 2,700 premature deaths across the EU, researchers estimate.
Will Dickson ’14 is trailblazing new ways to spark collaborations and scout talent.
Ryan Eustice PhD '05 and his team at the Toyota Research Institute are using artificial intelligence technologies to develop a car incapable of causing accidents.
New dispatching approach could cut the number of cars on the road while meeting rider demand.