The Missouri Department of Transportation regularly collects and stores various types of data for different uses such as planning, traffic operations, design, and construction. These large datasets contain treasure troves of information that could be fused and mined, but the size and complexity of data mining requires the use of advanced tools such as Big Data Analytics, machine learning, and cluster computing. TITAN is an initial prototype of an interactive web-based platform developed to demonstrate the possibilities of using big data software. This project succeeded in showing a user-friendly front end that was graphical in nature and a scalable back end that was capable of integrating multiple big databases with no latency. Several applications were shown, including mobility, safety, integrated safety and mobility, detectors, and predictive crash analytics. Because TITAN was shown to be feasible and efficient, the next step is to deploy TITAN to assist MoDOT staff in various data-driven decision-making processes.
VIEW FINAL REPORT
Report number: cmr 19-006
Published: May 2019
Project number: TR201815
Authors: Carlos Sun (P.I.), Praveen Edara (co-P.I.) and Yaw Adu-Gyamfi (co-P.I.)
Performing organization: University of Missouri-Columbia
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