Transportation agencies can benefit from applied research in big data and data analytics for next-gen traffic-related applications.
In an effort to improve work zone planning and management, the Maryland State Highway Administration used data from fixed sensors to support development of performance measurement programs. But the data was limited, and SHA wanted a more comprehensive, effective and systematic way to monitor and manage work zone impacts.
SHA worked with the University of Maryland’s CATT Lab to develop and test a real-time work zone performance monitoring tool, using vehicle probe and other data from their Coordinated Highway Action Response Team, or CHART system.
Their research objectives were to: