MIT Energy Initiative report charts pathways for sustainable personal transportation
Technological innovations, policies, and behavioral changes will all be needed to reach Paris climate agreement targets.
Technological innovations, policies, and behavioral changes will all be needed to reach Paris climate agreement targets.
System from MIT CSAIL sizes up drivers as selfish or selfless. Could this help self-driving cars navigate in traffic?
Model alerts driverless cars when it’s safest to merge into traffic at intersections with obstructed views.
By sensing tiny changes in shadows, a new system identifies approaching objects that may cause a collision.
Study finds that in some locations, lightweight gas-powered cars could have a bigger emissions-reducing impact than electric ones.
Teams were scored on speed, construction, performance, and financial planning at one of the world’s largest student engineering competitions.
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.