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AI-Powered Urban Traffic Congestion Management
AI-Powered Urban Traffic Congestion Management
Research Synthesis
Users and use cases
Product Name: Urban Traffic System
User Experience
Prototype for Smart Traffic System
Drone-Based Roof Inspection Project
Research Synthesis: Drone-Based Roof Inspection Project
User Experience
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Prototype for Smart Traffic System
Citizen App (Mobile/Web)
Real-time Traffic Updates
: Provides live congestion reports and alternative routes.
Route Optimization with AI Suggestions
: AI-driven navigation for the fastest and safest routes.
Incident Reporting
: Users can report accidents, roadblocks, and heavy traffic.
Public Transport Tracking
: Real-time updates on buses, trains, and ride-sharing options.
Voice and Text Input for Navigation
: Hands-free interaction for a safer experience.
Driver Uses AI for Route Optimization
User opens the Citizen App and enters the destination.
AI calculates the best route based on live traffic and historical data.
The app provides turn-by-turn navigation with alternative options.
If a roadblock appears, AI instantly reroutes the driver.
Decision-Making & Automation
AI-Driven Signal Adjustments
: Optimizes traffic lights based on live conditions.
Automated Rerouting
: Suggests alternate paths to drivers and navigation apps.
Machine Learning for Traffic Forecasting
: Predicts congestion and road conditions.
Emergency Vehicle Prioritization
: Ensures ambulances and fire trucks get priority.
Traffic Control Dashboard (Admin)
Real-time Traffic Monitoring & Analytics
: Live maps and predictive analytics.
AI-powered Signal Optimization
: Adjusts signals dynamically based on traffic flow.
Incident and Congestion Alerts
: Notifies authorities for quick response.
Predictive Analysis for Urban Planning
: Helps plan long-term traffic solutions.
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