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This thesis is about the requirement elicitation and conceptual modelling of a multi-layered dynamic off-road map with an emphasis on advancing toward real-world validation scenarios. Specifically, it addresses the challenges in fleet management for autonomous haulers moving earth material in open-pit mining applications at construction sites. The map used to coordinate these autonomous haulers is critical in ensuring productivity and safety, with terrain friction being a key aspect. However, the current state-of-practice relies on static maps that do not support dynamic updating to reflect changes in terrain properties.To address these limitations, this thesis explores the requirements for a multilayered dynamic map and proposes their integration with the fleet management system using a standardised approach based on a digital twin framework for manufacturing. Although static maps require validation, maps populated with dynamic components necessitate an even more rigorous validation prior to implementation in real-world applications. Therefore, validation scenarios based on best practices are designed to ensure the map’s functionality under various real-world conditions.