A hybrid decision support system, focused on in-depth road risk assessment by integrating iRAP and fuzzy AHP methods

The proposed hybrid methodology offers a reliable and adaptable tool for road safety assessment. By integrating infrastructure, human, traffic, and environmental factors, it provides a realistic view of road risk. It also suggests targeted measures-such as lane separation, improved visibility, and speed management to enhance safety, especially in developing regions with limited data.