English

Software System for Road Condition Forecast Correction

Machine Learning 2020-03-24 v1 Systems and Control Signal Processing Systems and Control Applications Machine Learning

Abstract

In this paper, we present a monitoring system that allows increasing road safety by predicting ice formation. The system consists of a network of road weather stations and intelligence data processing program module. The results were achieved by combining physical models for forecasting road conditions based on measurements from stations and machine learning models for detecting incorrect data and forecast correction.

Keywords

Cite

@article{arxiv.2003.09957,
  title  = {Software System for Road Condition Forecast Correction},
  author = {Dmitrii Smolyakov and Evgeny Burnaev},
  journal= {arXiv preprint arXiv:2003.09957},
  year   = {2020}
}

Comments

11 pages, 5 figures, 2 tables

R2 v1 2026-06-23T14:23:14.730Z