A Smart AI Based Solution For Traffic Management On Routes With Heavy Traffic From Different Directions, With Real-Time Monitoring And Adaptation Of Traffic Light Timings

Abstract

Traffic Core AI, a sophisticated React-based web application, simulates intelligent traffic management at a four-way intersection by integrating real-time data, machine learning predictions, and a dynamic user interface to optimize traffic flow, detect violations, and prioritize emergency vehicles. The system employs a mock ML model (MLTrafficPredictor) to monitor traffic volume, pedestrian presence, and environmental conditions like weather and pollution across North, East, South, and West directions, while dynamically adjusting green and wait times within a 120-second cycle based on traffic density, violations, pedestrian activity, and emergency priorities for efficient flow. It identifies traffic violations such as signal jumping or speeding, applying penalties that increase wait times to enforce compliance, and automatically detects emergency vehicles, granting them a 30-second priority mode with audible alerts. Environmental monitoring tracks air quality (AQI) and horn usage, generating AI-driven recommendations like traffic diversions to mitigate pollution or congestion. The interactive dashboard, enhanced by Framer Motion animations, offers a responsive UI with tabs for Dashboard (displaying real-time traffic, weather, and efficiency), Cameras (simulating feeds with Fullscreen viewing), History (visualizing 24-hour traffic and performance trends via Recharts area and composed charts), and Settings (for user preferences). Users can toggle night mode, voice assistant, auto-emergency detection, and adjust simulation speeds (0.5x to 5x), while real-time alerts for maintenance, accidents, or weather changes include voice feedback via the Web Speech API. Historical data and analytics reveal traffic patterns, and React hooks (useState, useEffect, useCallback, useMemo, useRef) ensure optimized state management and performance. Designed to simulate real-world traffic scenarios, TrafficCore AI enhances intersection efficiency, safety, and responsiveness through AI insights, user interaction, and dynamic signal control.