MACMobility Data Analytics Center

About the Mobility Data Analytics Center

Mobility Data Analytics Center

About MAC

Over the last decade, new technologies and innovations in the transportation industry have produced massive amounts of data, which has enabled us to better monitor, evaluate and manage our transportation systems. The rich data from various sources provides an unprecedented opportunity for the transportation industry to understand characteristics of infrastructure and services, to learn travelers’ behavior, and ultimately provide efficient solutions to address challenges in mobility, safety, sustainability, and equity.

However, data sources are usually disparate among public agencies and private companies. They rarely communicate with each other and as a result, data is only used and analyzed for a particular piece of the transportation system, such as an intersection, a stretch of freeway or bus operated by the same agency. With disparate data sources, each part of the system is individually operated and clearly, the entire transportation system is far from being socially optimal.

The Mobility Data Analytics Center (MAC) aims to collect, integrate and learn from the massive amounts of mobility data and contribute to the development of smarter multi-modal multi-jurisdictional transportation systems. The ultimate objective of MAC is to:

MAC has been actively developing a centralized data engine supported by a web application to manage and analyze massive data. The engine has been customized and applied to many applications in transportation, e.g. predictive analytics for incident management, optimal curbside management, work zone safety improvement, first-/last-mile mobility services, and multi-modal transportation network design, just to name a few. The engine offers organization, visualization, and analytics of a wide array of mobility data — roadway, incidents, parking, public transit, weather, electric vehicles, social media, telematics, etc. Furthermore, the engine can translate the data into useful information for people who need it: legislators, transportation planners, engineers, researchers, travelers, and companies. MAC also works with the private sector to develop travel-related products or services that ultimately improve travelers’ experience.

Mobility Data Analytics Center

Contact us

Director: Sean Qian

Porter Hall 123K, Carnegie Mellon University

4815 Frew St., Pittsburgh, PA 15213

seanqian@cmu.edu