Driving a human-machine collaboration
In MIT Mobility Forum talk, experts discuss a future for vehicle automation that lets technology and drivers interact.
Q&A: Climate Grand Challenges finalists on new pathways to decarbonizing industry
Faculty leaders detail promising technologies, materials, and methods that could help unlock a low-carbon future in sectors where emissions are hardest to cut.
Ride-hailing without the traffic snarls?
Study suggests how much competition in the urban ride market can grow before gridlock sets in.
New maps show airplane contrails over the U.S. dropped steeply in 2020
The computer-vision technique behind these maps could help avoid contrail production, reducing aviation’s climate impact.
3 Questions: What a single car can say about traffic
Measuring traffic properties requires vast amounts of data. Meshkat Botshekan, a PhD student working with the MIT CSHub, is discovering a more efficient and affordable physics-inspired alternative.
3 Questions: Jinhua Zhao on a “third place” between home and office
Remote workers have been seeking new types of workspaces, with implications for business and transit.
A creative desire, and the grit to get it done
Senior Laura Rosado settled on her major while designing a flying car.
3 Questions: Anuradha Annaswamy on building smart infrastructures
Senior research scientist and her team are designing intelligent systems that could someday transform the way we travel and consume energy.
MIT Energy Initiative launches the Future Energy Systems Center
New MITEI consortium focuses on speeding the energy transition, engaging with industrial leaders to deploy clean energy advances at scale.
New visions for better transportation
The MIT Mobility Forum showcases a breadth of approaches to analyzing and improving society’s transportation systems.
Machine learning speeds up vehicle routing
Strategy accelerates the best algorithmic solvers for large sets of cities.
A dispatch and routing platform to improve deliveries
Wise Systems has grown from an MIT class project to a company helping multinationals improve last-mile logistics.
Deep learning helps predict traffic crashes before they happen
A deep model was trained on historical crash data, road maps, satellite imagery, and GPS to enable high-resolution crash maps that could lead to safer roads.
New “risk triage” platform pinpoints compounding threats to US infrastructure
Modeling tool showcases emerging MIT Joint Program research focus on multi-sector dynamics.