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Smart Traffic

Mobility Data

We focus on ways in which better data and better analysis can both change behavior and improve transportation systems.

City Deep Learning

What Is Mobility Data?

We use data from fleets and service providers to provide insights on usage patterns and EV charging to policymakers and utilities, accelerate vehicle electrification, develop solutions to commuting problems, and improve city transportation.

New York, USA - May 6, 2016: Person using the Uber Taxi Cab App on Apple iPhone 6s Plus in the streets of New York City. The classic NYC Yellow Cab, which is the Uber Service Competition unsharp in the background. Uber Inc., based in San Francisco, develops, markets and operates the Uber mobile app, which allows consumers with smartphones to submit a trip request which is then routed to Uber drivers who use their own carr as an alternative to the classic taxi service.

Why It Matters

Present societal and government trends, emerging technologies, and new tech-enabled transit businesses suggest that our current transportation system can change dramatically. RMI can play a unique and trusted role with this data, which has privacy implications and commercial value.

Our Team

Robert Hutchinson
Senior Fellow

Lynn Daniels
Manager

Allison Crow
Associate

Dave Mullaney
Manager

Report

Interoperable Transit Data: Enabling a Shift to Mobility as a Service, 2015

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Report

A Consortium Approach to Transit Data Interoperability, 2017

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Blog

Mobility in the Palm of Your Hand: The Opportunity of Transit Data, 2015

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