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.
Assistant professor of civil engineering describes her career in robotics as well as challenges and promises of human-robot interactions.
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.
PhD student Limiao Zhang sees surprising connections between the behavior of cars and bubbles.
MIT-designed tool lets people test realistic changes to local transit networks.
MIT awarded Dept. of Energy grant to create and deploy energy-saving travel information and incentives system
$4 million grant will determine whether travel choices can be influenced by data and rewards to save energy.
Analysis shows that smarter programming of stoplights could improve efficiency of urban traffic.