Mobility Analytics Center Initiative
|Source Organization:||T-SET UTC|
|PI Contact Information:||Sean Qian|
Assistant Research Professor
H. John Heinz III College
Institute for Complex Engineered Systems
Civil and Environmental Engineering (by courtesy)
Carnegie Mellon University
|Funding Source(s) and Amounts Provided (by each agency or organization):||T-SET UTC $75,000|
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|Subject Categories:||operations and traffic management|
|Abstract:||Transportation agencies are turning to smarter ways with a variety of new technologies to improve travel experience and to manage the transportation system more efficiently. Over the last decade, new technologies and innovative transportation systems produce big data, which has tremendously enriched ways to monitor and manage our transportation systems. A challenging question is, how do we make the best use of the big data to design and operate our transportation system? In addition, those data sources are usually established by disparate public agencies and private sector. They rarely communicate with each other and as a result, each part of the transportation systems is individually operated and clearly, the entire transportation system is far from being socially optimal.
Integrating and learning the big data are the keys to success of smarter transportation systems, which consist of the following three components.
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