Intelligent Transportation Systems Institute, Center for Transportation Studies, University of Minnesota
This report contains a collection of reports for projects completed in FY 2004 and 2005 at the Transportation Data Research Laboratory (TDRL). First, an archiving technique referred to as the Unified Transportation Sensor Data Format (UTSDF), which allows simple management of large scaled Intelligent Transportation Systems (ITS) sensor generated data, is described. UTSDF was used for the development of a Data Center (DC) at TDRL. Next, data imputation algorithms to estimate missing data are presented. These algorithms were developed during the process of developing an automated on-line Automatic Traffic Recorder (ATR) and short count data system for the Office of Traffic Data & Analysis (TDA) at MnDOT. Utilizing the archived loop data, TDRL also developed a detector fault identification algorithm and software. This algorithm and test results are reported. Another project report involves cross-utilization of Road Weather Information System (RWIS) and traffic data. Several analysis approaches were developed to analyze the actual data. The analysis approaches used and findings are reported. Another project report involves development of a Weigh-in-Motion (WIM) Probe. This tool was developed as a diagnostic tool for the MnDOT's current WIM systems, and is based on a MnDOT problem statement. It is used for identification of signal anomalies and data verification. The details of this project are reported.
Kwon, Taek Mu.
Transportation Data Research Laboratory: Data Acquisition and Archiving of Large Scaled Transportation Data, Analysis Tool Developments, and On-Line Data Support.
Intelligent Transportation Systems Institute, Center for Transportation Studies, University of Minnesota.
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