Electrifying cars and light trucks to meet Paris climate goals
An MIT study gauges the pace of shifting to battery power.
An MIT study gauges the pace of shifting to battery power.
A passion for biomaterials inspires PhD candidate Eesha Khare to tackle climate change.
How data from Access MIT informs flexible, sustainable commutes as staff returns to campus.
Associate professor of aeronautics and astronautics will head MIT’s longest continuously-running lab.
SMART researchers explore the potential of e-scooter sharing as a replacement for short-distance transit in Singapore.
Study: Using trucks as both storage and means of energy transmission reduces hydrogen supply chain costs and encourages green hydrogen production from variable renewable energy.
Study of Beijing’s car-restriction policy underscores value of regional coordination to meet transportation and emissions goals.
SMART study determines benefits of competition and potential impact for future urban cities and transport systems.
Globally, people follow a “visitation law” — an inverse relationship between distance and frequency of visits.
MIT researchers are using smartphones to gather roadway information previously inaccessible to many departments of transportation.
Theory-based residual neural network combines discrete choice models and deep neural networks, long viewed as conflicting methods.
On May 6 and 7, researchers from the AI Policy Forum will present their preliminary AI public policy proposals aimed at shaping specific and significant uses of AI in our lives.
By 2030, 40 percent of vehicles sold in China will be electric; MIT research finds that despite benefits, the cost to consumers and to society will be substantial.
Student inventors recognized on World IP Day for groundbreaking, patentable solutions to issues related to maternal health, energy efficiency, and plastic waste.
SMART research finds US road congestion increased by almost 1 percent while the duration of congestion rose by 4.5 percent.