Project: #61 Real-time traffic monitoring and prediction for Cranberry Township Progress Report - Reporting Period Ending: Sept. 30, 2018 Principal Investigator: Sean Qian Status: Completed Start Date: Sept. 1, 2017 End Date: Dec. 31, 2018 Research Type: Applied Grant Type: Research Grant Program: Private Funding Grant Cycle: 2017 Smart Mobility Challenge Progress Report (Last Updated: Sept. 23, 2018, 7:40 p.m.) % Project Completed to Date: 80 % Grant Award Expended: 80 % Match Expended & Document: 80 USDOT Requirements Accomplishments Identified various data sources for in-depth data analytics. Identified modeling scenarios in the region Established statistical models for predicting travel times for all road segments in Cranberry Township considering traffic speed, weather, incidents and events. Established statistical models for suggesting optimal signal timing plans for Cranberry Township considering traffic speed, weather, incidents and events. Impacts We developed a large-scale high-resolution statistical model and a web application built for the Cranberry Township in the Pittsburgh region that supports decision making for the township's traffic operators and managers. It has great potential to improve the operation efficiency. Other A web application built for the Cranberry Township in the Pittsburgh region that supports decision making for the township's traffic operators and managers. Outcomes New Partners Cranberry Township Issues N/A