Traffic control of dump truck fleets at intersections for mining productivity improvement Article Swipe
YOU?
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· 2021
· Open Access
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· DOI: https://doi.org/10.1299/transjsme.20-00097
Recently, dump trucks working in mines are becoming unmanned in order to reduce labor costs and the risk of human injury. If we use multiple fleets of dump trucks, their coordination is necessary to avoid traffic jams. In this paper, we propose a new algorithm of controlling dump truck fleets so that mining productivity can be improved. First, we introduce an index, time margin, which is determined as a gap between the expected time to arrive at a loading area and the ideal arrival time at the loading area for zero idle time of the loading machine. Secondly, we propose an algorithm that optimizes the order in which dump trucks pass through intersections using the time margin. The algorithm calculates how much time the dump trucks lose by slowing down at intersections, and estimates how long it is delayed in arrival at the loading area using the time margin. The algorithm then determines the optimized order of the dump trucks that has the minimum total time of their arrival delay. Simulations show that the proposed method reduces delay in arrival at loading areas and improves the amount of production of the overall mine, due to appropriate prioritization of dump truck fleets.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1299/transjsme.20-00097
- https://www.jstage.jst.go.jp/article/transjsme/87/894/87_20-00097/_pdf
- OA Status
- gold
- References
- 4
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3126005444
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3126005444Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1299/transjsme.20-00097Digital Object Identifier
- Title
-
Traffic control of dump truck fleets at intersections for mining productivity improvementWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-01-01Full publication date if available
- Authors
-
Yudai OGAWA, Yusuke Maeda, Yasuchika MATSUI, Atsushi Sakai, Kenta Osagawa, Koji TakedaList of authors in order
- Landing page
-
https://doi.org/10.1299/transjsme.20-00097Publisher landing page
- PDF URL
-
https://www.jstage.jst.go.jp/article/transjsme/87/894/87_20-00097/_pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.jstage.jst.go.jp/article/transjsme/87/894/87_20-00097/_pdfDirect OA link when available
- Concepts
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Truck, Prioritization, Margin (machine learning), Haulage, Arrival time, Productivity, Transport engineering, Engineering, Automotive engineering, Computer science, Algorithm, Machine learning, Rope, Macroeconomics, Management science, EconomicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
4Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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