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Traffic Flow on a Freeway Network

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Nonlinear Estimation and Classification

Part of the book series: Lecture Notes in Statistics ((LNS,volume 171))

Abstract

Traffic congestion is an unpleasant fact of modern life. Although difficult to quantify precisely, congestion must cost Californians millions of dollars per day. Since further extensive construction of freeways is unlikely, information technology is being increasingly looked to for amelioration by providing information allowing more efficient use of existing freeways. Statistics plays a major role in such efforts.

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© 2003 Springer Science+Business Media New York

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Bickel, P., Chen, C., Kwon, J., Rice, J., Varaiya, P., van Zwet, E. (2003). Traffic Flow on a Freeway Network. In: Denison, D.D., Hansen, M.H., Holmes, C.C., Mallick, B., Yu, B. (eds) Nonlinear Estimation and Classification. Lecture Notes in Statistics, vol 171. Springer, New York, NY. https://doi.org/10.1007/978-0-387-21579-2_5

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  • DOI: https://doi.org/10.1007/978-0-387-21579-2_5

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-95471-4

  • Online ISBN: 978-0-387-21579-2

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