Year: 2026
Type: article
Abstract: Road accidents are a major safety concern, and travelling through accident-prone areas can increase the risk of road users. This project presents an AI-based Road Accident Risk Prediction and Safe Route Recommendation System that helps users choose routes by considering not only distance and travel time but also accident risk. The system uses historical accident data and geographical information to identify high-risk locations and estimate their risk levels. It displays accident-prone areas on an interactive map and compares the shortest, fastest, and safer routes between a user's current location and destination. During a journey, the system tracks the user's location and provides warnings about relevant high-risk areas along the selected route. By combining accident risk analysis with route recommendations, the proposed system aims to improve road safety awareness and help users make more informed travel decisions. It serves as a supportive navigation tool that encourages safer route choices based on historical accident patterns.
Language: English
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7225784139