Lawrence-Katio-Sila/Ai-Predictive-Road-Safety-for-African-Cities

# AI-Driven Predictive Road Safety for African Cities ## Overview Road traffic accidents are a leading cause of death in rapidly urbanizing African cities. Most existing road safety systems are reactive, relying on historical accident data and post-incident analysis. This project proposes a predictive, AI-driven road safety system that anticipates traffic accidents before they occur. The system integrates electrical sensing infrastructure, traffic flow data, and machine learning models to identify high-risk conditions in real time, enabling proactive interventions and safer urban mobility. ## Core Idea By combining real-time electrical signals from road environments with historical accident patterns, the system forecasts accident hotspots before incidents occur. This shifts road safety from reactive response to preventive intelligence. ## How the System Works 1. Electrical and traffic sensors collect real-time data (traffic density, speed, signals, and environment). 2. Historical accident datasets provide contextual learning. 3. AI models analyze combined data to predict accident risk. 4. Outputs trigger alerts, adaptive traffic control, and planning insights. ## Key Features - Real time risk prediction - AI-based accident hotspot forecasting - Low cost and scalable design - Compatible with existing urban infrastructure - Designed for African city contexts ## Why This Is a Breakthrough Unlike traditional road safety systems that analyze accidents after they occur, this approach predicts risk in advance. Roads are treated as dynamic, intelligent systems capable of self-assessment and early warning. ## Societal Impact - Reduced road fatalities and injuries - Lower economic losses from accidents - Data driven urban planning - Improved public trust in smart city systems ## Project Status Concept and system architecture stage. Initial validation uses publicly available road accident datasets and simulated sensor inputs. ## Author Lawrence K. Sila Electrical Engi …