Using explainable machine learning and image generation algorithm to objectively calculate and intelligently optimize the aesthetic quality of rural road environments

Key Points

• The aesthetic quality of rural roads was positively influenced using machine learning techniques.
• Key metrics from the optimization showed a significant improvement in visual appeal ratings.
• Analysis involved employing image generation algorithms to iteratively refine aesthetic quality.
• These findings indicate the potential for AI in transforming rural environments, but more extensive validation is necessary.