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Accession Number PB2014-102423
Title Advanced Decision Support for Winter Road Maintenance.
Publication Date 2013
Media Count 3p
Personal Author P. Pisano
Abstract Managing a winter maintenance program today is an increasingly complex endeavor. Just making sure that a plow blade is at the ready when the first flake falls is only a small part of the task. With tight budgets and the high expectation of the public for keeping roads clear of snow and ice, todays maintenance manager has to be able to handle multiple tasks or risk getting behind the onslaught of winter weather. Factor in all of the regulations about chemical applications, environmental impacts, and multiple, often contradictory weather forecasts, and you have got the ingredients for information overload. The Federal Highway Administration (FHWA) recognized this potential problem in the late 1990s. Generally speaking, there were plenty of weather forecasts, along with a few companies that issued road-specific forecasts, but there was a lack of linkage between the information available and the decisions made by winter maintenance managers. It was this weak link that became the genesis for the winter Maintenance Decision Support System (MDSS).
Keywords Cost benefits
Customized forecasts
Neural network model
Road weather information systems(RWIS)
Weather forecasts
Weather operations
Winter maintenance

 
Source Agency Federal Highway Administration
NTIS Subject Category 85H - Road Transportation
43G - Transportation
55C - Meteorological Data Collection, Analysis, & Weather Forecast
55B - Dynamic Meteorology
88B - Information Systems
48H - Snow, Ice, & Permafrost
Corporate Author Federal Highway Administration, Washington, DC.
Document Type Technical report
Title Note N/A
NTIS Issue Number 1407
Contract Number N/A

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