Document Type

Article

Publication Version

Published Version

Publication Date

11-2004

Journal or Book Title

Journal of Applied Meteorology

Volume

43

Issue

11

First Page

1783

Last Page

1790

DOI

10.1175/JAM2167.1

Abstract

Winter roadway maintenance budget data for the state of Iowa have been combined with available climate data for a 6-yr period to create a winter weather index that provides a useful assessment of winter severity. The weather index can be combined with measures of transportation department infrastructure within a region to estimate expenses for a given time period in the region. The index was developed using artificial neural network techniques that are nonlinear and perceive patterns in the input data. Winter weather severity as diagnosed by the index correlates well with Iowa Department of Transportation roadway treatment expenses. The neural network-based index is shown to perform better than the Strategic Highway Research Program (SHRP) index and an index developed using linear regression techniques.

Comments

This article is from Journal of Applied Meteorology 43 (2004): 1783, doi: 10.1175/JAM2167.1. Posted with permission.

Copyright Owner

American Meteorological Society

Language

en

File Format

application/pdf

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