Resumen
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.
| Idioma original | English |
|---|---|
| Estado | Published - 2009 |
| Evento | 16th World Congress on Intelligent Transport Systems and Services, ITS 2009 - Stockholm, Sweden Duración: sept 21 2009 → sept 25 2009 |
Conference
| Conference | 16th World Congress on Intelligent Transport Systems and Services, ITS 2009 |
|---|---|
| País/Territorio | Sweden |
| Ciudad | Stockholm |
| Período | 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
Huella
Profundice en los temas de investigación de 'Estimating the relationship between snow maintenance performance and current weather conditions'. En conjunto forman una huella única.Citar esto
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