United States Department of Transportation
i
Predicting Pavement-weather to Support Winter Weather Operation in Alabama
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2022-01-01
[PDF-2.36 MB]
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Edition:Research Report
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Abstract:To mitigate the challenge posed by the scarcity of pavement-weather data in Alabama, an alternative option is to model pavement-weather conditions at fine spatio-temporal resolution. In the present study, it is done using an indirect ‘signature-based’ approach that involves using weather data from the North American Land Data Assimilation System (NLDAS) and traffic speed data from the HERE. The aim here is to synergistically use both the datasets and identify signatures of average pavement-weather conditions in the presence of snowfall or black ice during which the transportation system is not able to work at its optimum efficiency under the influence of winter weather. The established signatures would help in finding answers for a range of questions such as 1) which regions are likely to face these signatures more frequently as compared to others, 2) what are the locations where the signatures are not true representatives of the ground realities, and 3) what are the possible solutions to fine-tune the signatures to capture actual on-ground situations. It is important to note that the term ‘pavement-weather prediction’ indicates predictions of occurrence of a specific pavement-weather condition 1) that is caused by winter weather event which is identified through climate variables such as precipitation, temperature etc. and 2) reveals high potential to disrupt traffic and reduce efficiency.
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