How many taxis does a city need?

As a future with automated vehicles becomes increasingly crystallized, planners and transportation experts, are increasingly optimistic that these vehicles will create a shift in ownership versus sharing services for mobility models - unlocking opportunities to reduce congestion and pollution in urban environments.

Realizing greater efficacy relies upon accurate and computationally efficient algorithms to effectively match riders with suppliers and to manage the thousands of trips made in a city.

In a new paper, published in the journal of Nature, a team of researchers coordinated by Carlo Ratti, director of MIT’s Senseable City Lab, unveil a computationally efficient solution to this problem, which they dub the “minimum fleet problem.”

Helen Knight, a MIT News correspondent, provides coverage for how the research team has developed algorithms to ensure we maximize the potential future benefits from automated vehicles. Click here to read the full article.


Image credit: Craebby Crabbson via Flickr