Q&A: Cathy Wu on developing algorithms to safely integrate robots into our world
Assistant professor of civil engineering describes her career in robotics as well as challenges and promises of human-robot interactions.
Machine learning speeds up vehicle routing
Strategy accelerates the best algorithmic solvers for large sets of cities.
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.
Crossing disciplines, adding fresh eyes to nuclear engineering
PhD student Limiao Zhang sees surprising connections between the behavior of cars and bubbles.
Examining the world through signals and systems
Assistant Professor Cathy Wu aims to help autonomous vehicles fulfill their promise by better understanding how to integrate them into the transportation system.
How many taxis does a city need?
New dispatching approach could cut the number of cars on the road while meeting rider demand.
3 Questions: Chris Zegras on designing your city’s transit system
MIT-designed tool lets people test realistic changes to local transit networks.
A simple solution for terrible traffic
Study: Without HOV policies, urban traffic gets much, much worse.
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.
Better traffic signals can cut greenhouse gas emissions
Analysis shows that smarter programming of stoplights could improve efficiency of urban traffic.
New way to predict how traffic will flow
Model provides a more accurate tool for city planning, emergency evacuations, tracking disease spread.
Reducing traffic congestion, remotely
Reducing traffic congestion with wireless systemSystem that would wirelessly route drivers around congested roadways wins best-paper award.
Ride-sharing could cut cabs’ road time by 30 percent
A new analytic framework enables analysis of GPS data on 150 million cab rides in New York City.