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Michael J Demetsky
Researcher at University of Virginia
Publications - 82
Citations - 1753
Michael J Demetsky is an academic researcher from University of Virginia. The author has contributed to research in topics: Traffic flow & Transportation planning. The author has an hindex of 16, co-authored 82 publications receiving 1627 citations.
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Journal ArticleDOI
Traffic flow forecasting: comparison of modeling approaches
TL;DR: This research effort focused on developing traffic volume forecasting models for two sites on Northern Virginia's Capital Beltway, and found that the nonparametric regression model was easy to implement, and proved to be portable, performing well at two distinct sties.
Journal Article
Short-term traffic flow prediction: neural network approach
TL;DR: In a comparison of a backpropagation neural network model with the more traditional approaches of an historical, data-based algorithm and a time-series model, the back Propagation model was clearly superior, although all three models did an adequate job of predicting future traffic volumes.
Proceedings ArticleDOI
Short-term traffic flow prediction models-a comparison of neural network and nonparametric regression approaches
TL;DR: It is demonstrated that the nearest neighbour models have the potential to serve as accurate and portable traffic flow prediction models and have the advantages of being easily understood by field personnel.
Journal ArticleDOI
Multiple-Interval Freeway Traffic Flow Forecasting:
TL;DR: A multipleinterval freeway traffic flow forecasting model has been developed that predicts traffic volumes in 15-min intervals for several hours into the future.
Journal ArticleDOI
A prototype case-based reasoning system for real-time freeway traffic routing
TL;DR: The study develops and evaluates a prototype CBR routing system for the interstate network in Hampton Roads, Virginia and demonstrates that the prototype system is capable of running in real-time, and of producing high quality solutions using case-bases of reasonable size.