Filtering and Prediction on Freeways Using Markov Models

by Gary A. Davis, Univ of Minnesota, Minneapolis, United States,
Jeong-Gyu Kang, Univ of Minnesota, Minneapolis, United States,



Document Type: Proceeding Paper

Part of: Pacific Rim TransTech Conference: Volume I: Advanced Technologies

Abstract:

A Markov compartment model of freeway traffic flow is presented and used to derive a Kalman Filter which tracks a freeway section's density, broken down by destination. The filter is then tested using actual and simulated freeway data.



Subject Headings: Filters | Highways and roads | Markov process | Traffic flow | Traffic models | Structural models | Kalman filters | Traffic congestion

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