AI - Based Road Safety Audit System

Indian road networks currently rely on manual safety audits that are costly, time-consuming, and pose safety risks to inspection personnel. This paper proposes an AI-driven road safety audit system that uses advanced object detection to automatically identify and evaluate critical road safety features (such as crash barriers, speed breakers,pavement marker insertions, road markings, and signboards) from highway images and video. By leveraging our client’s products in our analysis, the system is fully tailored to Indian road infrastructure, ensuring standard safety installations. (https://law.resource.org/pub/in/bis/irc/translate/irc.gov.in.sp.099.2013.html) The proposed approach addresses high inspection costs by minimizing the need for manual checks. Our AI system should increase Road Safety Awareness among an ordinary Indian citizen, resulting in lower risk of accidents on Indian National/State Highways. Expected outcomes include significant cost savings, lower chance of accidents,and Highway compliant safety features imposed at all high risk - medium risk zones. For example, targeting maintenance activities like repainting faded lane lines or repurposing signage and enhanced highway safety compliance through timely interventions. In conclusion, this AI-based road audit framework offers a scalable solution to improve road safety management in India, providing actionable insights for road contractors and authorities while emphasizing the importance of such data-driven audits in policymaking and infrastructure development. This Road Safety Audit System should also serve as a guideline for all Indian drivers who should be in a position to make effective suggestions for the overall road safety of India.