Current visualizations techniques for identifying performance bottlenecks with loop-detector traffic data are not sufficient for large data sets to create interactive visualization and analysis of possible scenarios. This study seeks to develop a more effective means of processing data obtained at the Traffic Management Center (TMC) to identify recurring patterns in the traffic data that may be being lost in current data collection process. The final objective is to create a software prototype for analysis.
Shekhar, Shashi; Lu, Chang-Tien; Liu, Alan.
High Performance Spatial Visualization of Traffic Data.
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