Traffic congestion and its inherent stochasticity continue to challenge urban mobility worldwide. To address this, researchers have introduced a groundbreaking framework for modeling the Stochastic ...

A new machine learning model can predict traffic activity in different zones of cities. To do so, a researcher used data from a main car-sharing company in Italy as a proxy for overall city traffic.

The study offers a new way to understand how people move through the city, according to Andres Sevtsuk, an associate professor in MIT’s Department of Urban Studies and Planning who led the research.

MY LEAFY, fairly affluent corner of south London has a congestion problem, and to solve it, there is a plan to close certain roads. You can imagine the furore: the trunk of every kerbside tree sports ...