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Analysis of Weather Information and Road Surface Images for Snow Removal Dispatch Prediction

Authors:
Hiroki Okura
Soichiro Yokoyama
Tomohisa Yamashita
Hidenori Kawamura

Keywords: Snow Removal, Information Sharing System, Weather Information.

Abstract:
This study focuses on addressing the challenges associated with decision-making in winter road snow removal operations, aiming to alleviate the burden on snow removal personnel. Specifically, we propose a system that collects and visualizes information on road weather data and snow conditions to support decision-making by responsible personnel. Additionally, by sharing the collected information, we aim to facilitate the sharing of premonitions about changes in decision-making among snow removal personnel, reducing the need for physical inspections. In this paper, we discuss the utilization of the collected information, presenting a module proposal that utilizes deep learning to quantify the snow coverage in images captured by fixed-point cameras. We also explore the analysis of data for the introduction of a predictive function for snow removal operations.

Pages: 17 to 24

Copyright: Copyright (c) IARIA, 2024

Publication date: March 10, 2024

Published in: conference

ISSN: 2308-4065

ISBN: 978-1-68558-132-9

Location: Athens, Greece

Dates: from March 10, 2024 to March 14, 2024