This project focuses on systems of signalized intersections, with the goals of: 1) conducting a detailed empirical evaluation of the traffic flow model used to predict evolution of traffic conditions, and 2) posing and solving an optimization problem that determines those traffic detector configurations containing enough information to generate state and parameter estimates of sufficient precision. The empirical evaluation also involves comparing the output of several methods for estimating intersection turning movement proportions to manual turning movement counts.
Davis, Gary A.; Stephanedes, Yorgos J.; Lan, Chang-Jen.
Real-Time Traffic Prediction for Advanced Traffic Management Systems: Phase II.
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