A Digital Twin Based Approach to Control Overgrowth of Roadside Vegetation

Abstract

Roadside vegetation poses a significant risk to road safety, often contributing to traffic accidents by obstructing drivers’ views and impeding visibility. This study investigates existing control methods, assesses their limitations, defines technology-agnostic information requirements for vegetation control, and proposes a Digital Twin-based solution. The methodology involves expert interviews, a literature review, and a real-world case study, demonstrating the solution’s applicability. The study contributes to the field by offering insights into current practices, defining information needs, and presenting a novel approach for more effective roadside vegetation management. This research contributes to advancing road safety practices by harnessing the capabilities of digital twin technology to proactively manage and mitigate the risks associated with overgrown roadside vegetation.