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.
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.
Leveraging research done on campus, student-run MIT Driverless partners with industry collaborators to develop and test autonomous technologies in real-world racing scenarios.
MISTI program expands to virtual activities while still planning for the world beyond.