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Browsing by Author "Lan, Chang-Jen"

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    Real-Time Traffic Prediction for Advanced Traffic Management Systems: Phase II
    (2006-04-01) Davis, Gary A.; Stephanedes, Yorgos J.; Lan, Chang-Jen
    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.
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    Real-Time Traffic Prediction for Advanced Traffic Management Systems: Phase III
    (2006-05-01) Davis, Gary A.; Stephanedes, Yorgos J.; Lan, Chang-Jen
    Building on the research performed in Phases I and II of this study, the authors develop in Phase III an algorithm for estimating vehicle turning proportions at signalized intersections using partial detector information. This report demonstrates the efficiency of a maximum likelihood estimator approach to estimate turning proportions over a prediction error minimization principle. This phase enhances the traffic flow models to provide more detail on short-term instability and left-turning behavior at intersections. Finally, the authors develop two types of estimation algorithms using Nonlinear Least Squares and Quasi Maximum Likelihood to estimate the turning proportion parameters. These algorithms are useful tools to generate real-time applications in traffic control.