The curse of variety in transportation systems

Assistant Professor Cathy Wu is addressing traffic control problems by leveraging deep reinforcement learning.

Daniel de Wolff | MIT Industrial Liaison Program • mit
Aug. 7, 2023 ~9 min

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.

Rachel Gordon | MIT CSAIL • mit
Oct. 12, 2021 ~5 min


How many taxis does a city need? | MIT News

New dispatching approach could cut the number of cars on the road while meeting rider demand.

Helen Knight | MIT News correspondent • mit
May 23, 2018 ~6 min

3 Questions: Chris Zegras on designing your city’s transit system | MIT News

MIT-designed tool lets people test realistic changes to local transit networks.

Peter Dizikes | MIT News Office • mit
Dec. 8, 2017 ~7 min

A simple solution for terrible traffic | MIT News

Study: Without HOV policies, urban traffic gets much, much worse.

Peter Dizikes | MIT News Office • mit
July 6, 2017 ~7 min

Sharing the fares | MIT News

Very different cities have similar potential for ride sharing, study finds.

Peter Dizikes | MIT News Office • mit
March 6, 2017 ~5 min

MIT awarded Dept. of Energy grant to create and deploy energy-saving travel information and incentives system | MIT News

$4 million grant will determine whether travel choices can be influenced by data and rewards to save energy.

Marilyn Siderwicz | Department of Civil and Environmental Engineering • mit
Aug. 6, 2015 ~4 min

Better traffic signals can cut greenhouse gas emissions | MIT News

Analysis shows that smarter programming of stoplights could improve efficiency of urban traffic.

David L. Chandler | MIT News Office • mit
March 31, 2015 ~10 min


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