Path Planning Strategy for Implementing a Machine Control System in Grader Operations

The construction industry faces challenges of labor shortages and safety concerns. Machine control (MC) technology offers a solution, particularly for graders in earthmoving operations. This study introduces a path-planning algorithm using initial site data, 3D target models, and equipment specifications to create optimal work paths for graders. The algorithm minimizes data exchange and adjusts for varying road widths and curves, enhancing grading efficiency and accuracy. A case study on a road construction site in South Korea validated the algorithm’s practical application. The proposed system aims to improve construction efficiency, safety, and cost-effectiveness, contributing to the advancement of construction automation technology.

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Publication Details

Journal
Applied Sciences
Published
2024-10-16
DOI
https://doi.org/10.3390/app14209432
Primary Topic
Industrial Automation and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Path Planning Strategy for Implementing a Machine Control System in Grader Operations

Wongi S. Na, Jongwon Seo, Sung-Keun Kim, Jaeyoon Kim
Applied Sciences
Industrial Automation and Control Systems
article

Path Planning Strategy for Implementing a Machine Control System in Grader Operations

Wongi S. Na, Jongwon Seo, Sung-Keun Kim, Jaeyoon Kim
article en

Abstract

The construction industry faces challenges of labor shortages and safety concerns. Machine control (MC) technology offers a solution, particularly for graders in earthmoving operations. This study introduces a path-planning algorithm using initial site data, 3D target models, and equipment specifications to create optimal work paths for graders. The algorithm minimizes data exchange and adjusts for varying road widths and curves, enhancing grading efficiency and accuracy. A case study on a road construction site in South Korea validated the algorithm’s practical application. The proposed system aims to improve construction efficiency, safety, and cost-effectiveness, contributing to the advancement of construction automation technology.

Applied SciencesVol. 14(20)
Seoul National University of Science and Technology (KR), Hanyang University (KR)
Openalex Percentile: Top 79%
Industrial Automation and Control Systems
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