ABOUT MAC

Over the last decade, new technologies and innovations in transportation systems 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 travel behavior and to propose efficient management strategies. However, those data sources are usually established by disparate 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 transportations systems. The ultimate objective of MAC is to:

• Provide archived and real-time traffic data of every element of multi-modal transportation systems;
• Reveal the behavior information for both passenger transportation and freight transportation;
• Serve as a key instrument for managing transportation systems.
• Target a range of users including legislators, transportation planners, engineers, researchers, travelers and private companies.