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Road infrastructure can affect the occurrence of road accidents. Therefore,identifying roadway features with high accident probability is crucial. Here,we introduce image inpainting that can assist authorities in achieving saferoadway design with minimal intervention in the current roadway structure.Image inpainting is based on inpainting safe roadway elements in a roadwayimage, replacing accident-prone (AP) features by using a diffusion model. Afterobject-level segmentation, the AP features identified by the properties ofaccident hotspots are masked by a human operator and safe roadway elements areinpainted. With only an average time of 2 min for image inpainting, thelikelihood of an image being classified as an accident hotspot drops by anaverage of 11.85%. In addition, safe urban spaces can be designed consideringhuman factors of commuters such as gaze saliency. Considering this, weintroduce saliency enhancement that suggests chrominance alteration for a saferoad view.

Road Redesign Technique Achieving Enhanced Road Safety by Inpainting with a Diffusion Model