(2023) Research Solutions - Improving roadway friction measurement methods to keep winter roads clear - TPF-5(435). Transportation, Department of
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Iowa DOT Research Solutions - TPF-5(435) - Weather Variables.pdf File Size:347kB |
Abstract
Road friction sensors are a lower-maintenance tool for monitoring road surface conditions and identifying where salt or other winter maintenance treatments should be applied. However, different sensors may not measure friction consistently and their high cost means they can only be deployed on key road segments. Machine learning provides Iowa DOT and other state transportation agencies a potential new option to predict road surface conditions in real time without the need for sensors. Building on a variety of past studies, researchers developed a model using existing meteorological data and provided guidance for states to develop similar models of their own.
| Item Type: | Departmental Report |
|---|---|
| Note: | Please see Final Report and Tech Brief: https://publications.iowa.gov/43824/ |
| Keywords: | roadway friction measurements—roadway pavement types—tire grip—winter highway safety—winter roadway conditions |
| Subjects: | Transportation Transportation > Traffic safety Transportation > Research Transportation > Research > Concrete |
| ID Code: | 47168 |
| Deposited By: | Iowa DOT Research |
| Deposited On: | 06 Dec 2023 20:44 |
| Last Modified: | 06 Dec 2023 20:44 |
| URI: | https://publications.iowa.gov/id/eprint/47168 |