Development of Planning Method for Snow Hauling Using Dump Truck Probe Car Data

2021 Fiscal Year Final Research Report

• Project/Area Number: 19K04633
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 22050:Civil engineering plan and transportation engineering-related
• Research Institution: Hokkaido University
• Principal Investigator: Kishi Kunihiro 北海道大学, 公共政策学連携研究部, 教授 (60312386)
• Project Period (FY): 2019-04-01 – 2022-03-31
• Keywords: 運搬排雪 / ダンプトラック / ETC2.0プローブデータ

Outline of Final Research Achievements

Currently, at snow hauling work, snow is transported from the snow removal site to the snow deposition site. The distance to the snow deposition site is a major factor in the time required for the work and the required number of dump trucks. This study simulated the effect of snow removal by considering intermediate snow deposition sites in open spaces such as parks. In addition, a model was developed to calculate the time required to snow hauling work based on the number of dump trucks. Furthermore, a model was developed to minimize the total work time when the total number of dump trucks is limited by the number of dump trucks used for snow hauling at multiple locations at the same time. The accuracy of the estimated work time was improved by utilizing ETC2.0 probe data of dump trucks.

Free Research Field

土木計画学

Academic Significance and Societal Importance of the Research Achievements

今後の除雪作業はより一層の効率化が求められており，とりわけ運搬排雪については，より少ないダンプトラックで多くの作業をする必要がある．つまり，少ないダンプトラックで作業を早く終了させる新たな運搬排雪の方法の構築，そして，技術の伝承が困難で，経験の少ない人に対して，ダンプトラックの適切な必要台数，適切な運搬排雪作業時期の意思決定を支援するシステムが求められている．運搬排雪のマネジメントについて学術的に明らかにしたものは見られない．本研究の成果はこれらの課題に対して貢献すると考えている．