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
Currently, in the United States, highway agencies commonly use locked-wheel testers to perform proje...
"October 2006."; "FHWA/OH-2006/22"--Technical rept. documentation page.; Includes bibliographical re...
The objective of this research was to develop a methodology for targeted pavement friction data coll...
Road friction sensors are a lower-maintenance tool for monitoring road surface conditions and identi...
Keeping roads clear of snow and ice during the winter season requires a considerable expenditure of ...
The first part of this project conducted a detailed evaluation of the ability of a new friction meas...
PDFTech ReportMN/RC 2010-07(c) 89261 (wo) 58Automatic vehicle locationData recordersDeicers (Equipme...
Road friction has long been recognized as one of the most effective winter road maintenance (WRM) pe...
770473096523102XPDFProceedingsFriction courseFrictionTiresWeather conditionsIowa State UniversityAnd...
Winter road maintenance activities are crucial for maintaining the accessibility and traffic safety ...
In cold regions, winter weather poses a significant hazard to road transportation. Snow and ice redu...
16350792015Final reportPDFTech ReportFHWA-JPO-16-359DTFH61-13-P-00017Weather conditionsSlipperinessW...
16450202016PDFTech ReportFHWA-JPO-16-361Intelligent vehiclesVehicle to roadside communicationsAdvanc...
Granular-surfaced roadways, one of the most significant public road systems in the U.S., are highly ...
Transferred from EDL on 5/14/2008PDFProceedingsWinter maintenanceTemperature measurementRoad weather...
Currently, in the United States, highway agencies commonly use locked-wheel testers to perform proje...
"October 2006."; "FHWA/OH-2006/22"--Technical rept. documentation page.; Includes bibliographical re...
The objective of this research was to develop a methodology for targeted pavement friction data coll...
Road friction sensors are a lower-maintenance tool for monitoring road surface conditions and identi...
Keeping roads clear of snow and ice during the winter season requires a considerable expenditure of ...
The first part of this project conducted a detailed evaluation of the ability of a new friction meas...
PDFTech ReportMN/RC 2010-07(c) 89261 (wo) 58Automatic vehicle locationData recordersDeicers (Equipme...
Road friction has long been recognized as one of the most effective winter road maintenance (WRM) pe...
770473096523102XPDFProceedingsFriction courseFrictionTiresWeather conditionsIowa State UniversityAnd...
Winter road maintenance activities are crucial for maintaining the accessibility and traffic safety ...
In cold regions, winter weather poses a significant hazard to road transportation. Snow and ice redu...
16350792015Final reportPDFTech ReportFHWA-JPO-16-359DTFH61-13-P-00017Weather conditionsSlipperinessW...
16450202016PDFTech ReportFHWA-JPO-16-361Intelligent vehiclesVehicle to roadside communicationsAdvanc...
Granular-surfaced roadways, one of the most significant public road systems in the U.S., are highly ...
Transferred from EDL on 5/14/2008PDFProceedingsWinter maintenanceTemperature measurementRoad weather...
Currently, in the United States, highway agencies commonly use locked-wheel testers to perform proje...
"October 2006."; "FHWA/OH-2006/22"--Technical rept. documentation page.; Includes bibliographical re...
The objective of this research was to develop a methodology for targeted pavement friction data coll...