Start date: 06/01/16
End date: 09/01/17
- Praveen Edara | University of Missouri-Columbia
About the research
This project seeks to fuse multiple data sources to collect work zone and traffic data for moving work zones in order to develop a prototype tool that can predict performance measures such as vehicle throughput, travel delays, the length of the queue, and lane-changing behavior. Two approaches will be used to develop the prediction tool. First, collected data will be used to calibrate existing work zone traffic impact analysis tools. Second, a data-driven approach will be used to estimate regression models of work zone performance measures as a function of various independent variables. Finally, a simulation based assessment of the moving work zone impacts will also be pursued.
- Midwest Transportation Center
- Smart Work Zone Deployment Initiative