## 2 Literature Review
Thus, construction automation and information technology are considered the best technical approaches to solving these challenges, and among the various earthwork equipment used for civil engineering work, the intelligentization of excavators used for general use has been required first [25; 26]. [PERSON] et al. [27] identified the decision factors and importance of excavator movement through literature surveys, expert surveys, and interviews. The authors presented a model for the cell division of earthworks sites for generating excavator paths and suggested a method for determining cell size considering the specifications and safety distance of excavators. Also, they proposed work methods according to the location of the excavator platform, determining the final path and presenting the platform location through the cell network extraction method and network discovery method (considering Traveling Salesman Problem: TPS [28]). This study presents a methodology for automatically generating an excavator path based on given design and site information. However, this study focuses on the path creation of an excavator and has the limitation that it only deals with the minimum cost distance, natural drainage direction, and continuity of the excavation direction by considering the operators' work behavior and does not address dump trucks and the site. Previous studies predominantly focused on analyzing the excavation routes of excavators within earthworks and the haul routes of external dump trucks [29; 30]. However, the collaboration between excavators and dump trucks is paramount for efficient loading and transport operations. Despite this significance, there has been relatively limited study dedicated to task planning for the cooperative interaction between excavators and dump trucks compared to studies focusing solely on individual task plans for each machine [31; 32; 33; 34; 35]. Recent studies on task plans for automated excavators and dump trucks have revealed certain shortcomings concerning system integration [23]. These plans often lacked compatibility with web-based systems, and the dump truck's location or approach did not always align with the site's unique circumstances. Consequently, the complexity of on-site operations compromised maneuverability for entry and exit, thereby presenting significant challenges in adapting to such scenarios. While previous studies have delved into study on automatically generating excavation work, there is a notable scarcity of studies on task updates to accommodate the dynamic nature of construction sites. Moreover, the desired task updates by managers or administrators typically entail partial daily updates, yet previous studies predominantly offered automatic updates for the entire task, proving to be inefficient. Additionally, there is a lack of earthwork topography modeling considering the level of automation or task planning systems that factor in collaboration between excavators and trucks. Establishing an autonomous excavation task planning system that considers the automated excavator's characteristics, environmental factors, and design conditions can support the automatic task planning of excavators and trucks, even for individuals lacking expertise in earthwork. This study aims to propose optimal task planning and operation strategies for collaborative automated excavators and trucks in earthwork projects. The following sections will explicate the step-by-step procedures, utilizing a construction site grading project as a testbed to substantiate the effectiveness and feasibility of the proposed methodology. The primary distinction between this paper and previous studies lies in its departure from proposing a simplistic JSON-type protocol for connecting and integrating with a comprehensive automation system, and its comprehensive treatment of various work types.