Abstract
Road infrastructure is a critical component of economic development, yet potholes remain a persistent challenge, leading to increased vehicle maintenance costs, road safety hazards and inefficient maintenance planning. Traditional pothole detection methods rely on manual inspections, which are time-consuming, costly and prone to human error. As a result, there is a growing need for automated technologies to enhance the accuracy, efficiency and cost-effectiveness of pothole detection in road maintenance.
This research addresses the critical challenge of selecting the most suitable automated pothole detection method by identifying key selection considerations. With the emergence of diverse technological solutions, including vision-based, vibration-based and 3D reconstruction methods, decision-makers face difficulties in determining which approach best aligns with specific operational and environmental conditions. The absence of a structured selection framework can lead to suboptimal investments in technology, reducing the effectiveness of road maintenance programmes.
To address this issue, a survey questionnaire approach was followed to assess the level of familiarity with the existing automated pothole detection method. The perception of importance of key considerations such as detection accuracy, processing speed, environmental operating limitations, integration with existing infrastructure and cost-effectiveness are analysed to guide decision-makers in selecting the most appropriate technology for their specific context.
The findings of this study provide structured selection considerations that enable road authorities, municipalities and transportation agencies to make informed decisions when investing in automated pothole detection solutions. By prioritising critical selection factors, this research contributes to improved road maintenance efficiency, reduced operational costs and enhanced road safety. Ultimately, the study supports the development of smarter, data-driven infrastructure management strategies that align with modern technological advancements.