Filtering and Prediction on Freeways Using Markov Models

G. Davis, J. Kang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationConference on Object-Oriented Programming Systems, Languages and Applications
PublisherPubl by ASCE
Pages43-49
Number of pages7
ISBN (Print)0872629163
StatePublished - 1993
EventProceedings of the Pacific Rim Trans Tech Conference - Seattle, WA, USA
Duration: Jul 25 1993Jul 28 1993

Publication series

NameConference on Object-Oriented Programming Systems, Languages and Applications

Other

OtherProceedings of the Pacific Rim Trans Tech Conference
CitySeattle, WA, USA
Period7/25/937/28/93

Fingerprint

Dive into the research topics of 'Filtering and Prediction on Freeways Using Markov Models'. Together they form a unique fingerprint.

Cite this