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Sustainable Innovation for Pothole Detection and Road Maintenance
Abstract
Poor road conditions, such as potholes, can lead to accidents and economic losses, particularly in developing countries. This study presents an innovative Arduino-based model for automatic pothole detection and filling to enable sustainable road maintenance. The model uses sensors to identify pavement distress, estimate pothole depths, and subsequently dispense the required filler material, thereby restoring road surfaces. The automated approach increases inspection efficiency and allows authorities to allocate resources optimally for road conservation efforts sustainably. Additionally, a manually monitored mobile application provides operators with remotely configurable control of model movement and operations. Overall, this study demonstrates sustainable innovation in the application of frugal robotics and IoT to intelligent transportation infrastructure management in resource-constrained environments. Sustainable technology solutions balance economic viability, social benefits for road users, and environmental impacts through context-appropriate road maintenance.
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