An automated system for prediction of icing on the road

10Citations
Citations of this article
7Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

During the period from late autumn to early spring, vast areas in North America, Western Europe, and many other countries experience frequent snow, sleet, ice, and frost. Such adverse weather conditions lead to dangerous driving conditions with consequential effects on road transportation in these areas. A numerical forecasting system is developed for automatic prediction of slippery road conditions at road station sites in northern Europe and North America. The system is based on a road conditions model forced by input from an operational atmospheric limited area model. Synoptic information on cloud cover and observations of temperature, humidity, water and ice on the road from the road station sites are taken into account in a sophisticated initialization procedure involving flux corrections for individual locations. The system is run initially at the Rhode Island University with promising results. Currently, new forecasts 3 h ahead are produced every 20 minutes for 14 road station sites. © Springer-Verlag 2002.

Cite

CITATION STYLE

APA

Korotenko, K. (2002). An automated system for prediction of icing on the road. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2331 LNCS, pp. 1193–1200). Springer Verlag. https://doi.org/10.1007/3-540-47789-6_126

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free