Estimating the relationship between snow maintenance performance and current weather conditions

T. H. Maze; Theodore A. Smith; Chris Albrecht; Massiel A. Orellana; Alicia Carriquiry; Reginald R. Souleyrette

Estimating the relationship between snow maintenance performance and current weather conditions

T. H. Maze, Theodore A. Smith, Chris Albrecht, Massiel A. Orellana, Alicia Carriquiry, Reginald R. Souleyrette

Civil Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract

This paper documents the correlation of data from weather observation systems, Road Weather Information Systems (RWIS), and highway agency inventories, to describe the effectiveness of winter maintenance performance in the State of Minnesota. The logarithms of the deviation from standard goals for bare lane regain times on varying roadway classifications are used as endogenous (response) variables in a mixed linear model. This results in a model with excellent statistical properties. The model takes into the account the local severity of weather to estimate performance, thus creating a benchmark to compare actual performance under current weather conditions.

Original language	English
State	Published - 2009
Event	16th World Congress on Intelligent Transport Systems and Services, ITS 2009 - Stockholm, Sweden Duration: Sep 21 2009 → Sep 25 2009

Conference

Conference	16th World Congress on Intelligent Transport Systems and Services, ITS 2009
Country/Territory	Sweden
City	Stockholm
Period	9/21/09 → 9/25/09

ASJC Scopus subject areas

Mechanical Engineering
Computer Networks and Communications
Computer Science Applications
Electrical and Electronic Engineering
Artificial Intelligence
Transportation
Automotive Engineering
Control and Systems Engineering

Cite this

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title = "Estimating the relationship between snow maintenance performance and current weather conditions",

abstract = "This paper documents the correlation of data from weather observation systems, Road Weather Information Systems (RWIS), and highway agency inventories, to describe the effectiveness of winter maintenance performance in the State of Minnesota. The logarithms of the deviation from standard goals for bare lane regain times on varying roadway classifications are used as endogenous (response) variables in a mixed linear model. This results in a model with excellent statistical properties. The model takes into the account the local severity of weather to estimate performance, thus creating a benchmark to compare actual performance under current weather conditions.",

author = "Maze, {T. H.} and Smith, {Theodore A.} and Chris Albrecht and Orellana, {Massiel A.} and Alicia Carriquiry and Souleyrette, {Reginald R.}",

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AU - Maze, T. H.

AU - Smith, Theodore A.

AU - Albrecht, Chris

AU - Orellana, Massiel A.

AU - Carriquiry, Alicia

AU - Souleyrette, Reginald R.

PY - 2009

Y1 - 2009

N2 - This paper documents the correlation of data from weather observation systems, Road Weather Information Systems (RWIS), and highway agency inventories, to describe the effectiveness of winter maintenance performance in the State of Minnesota. The logarithms of the deviation from standard goals for bare lane regain times on varying roadway classifications are used as endogenous (response) variables in a mixed linear model. This results in a model with excellent statistical properties. The model takes into the account the local severity of weather to estimate performance, thus creating a benchmark to compare actual performance under current weather conditions.

AB - This paper documents the correlation of data from weather observation systems, Road Weather Information Systems (RWIS), and highway agency inventories, to describe the effectiveness of winter maintenance performance in the State of Minnesota. The logarithms of the deviation from standard goals for bare lane regain times on varying roadway classifications are used as endogenous (response) variables in a mixed linear model. This results in a model with excellent statistical properties. The model takes into the account the local severity of weather to estimate performance, thus creating a benchmark to compare actual performance under current weather conditions.

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Y2 - 21 September 2009 through 25 September 2009

ER -

Estimating the relationship between snow maintenance performance and current weather conditions

Abstract

Conference

ASJC Scopus subject areas

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