Traffic Congestion AI
Easing congestion and commuting via AI
SDG Category:
Industry, Innovation, and Infrastructure
Project Type:
Image Recognition, Clay Model
Tired of Traffic Jams?
This is the problem a team set out to tackle with their innovative approach to traffic management in Klang Valley. By using AI-powered solutions like dynamic road pricing and smart traffic lights, they aim to ease congestion and improve commuting efficiency.
What It Does:
- Electronic Road Pricing (ERP): A dynamic pricing system to manage traffic flow.
- Smart Traffic Lights: Interconnected systems that optimize traffic light timings.
- AI-Powered Traffic Optimization: Analyzes data to identify hotspots and suggests best solutions.
- Emergency Vehicle Priority: AI detects and prioritizes emergency vehicles.
Why It’s Amazing:
Crackholes enhances road safety, optimizes repair efficiency, and saves costs, paving the way for safer, smoother roads for everyone.
How can this project be taken to the next level?
- Crowdsourced Traffic Data
Allow users to contribute real-time data from their vehicles (e.g., through a mobile app), enhancing traffic flow analysis and improving prediction accuracy. - Public Transport Integration
Link the system to public transportation schedules and optimize both car and bus/train timings, making the entire transportation network more synchronized and efficient. - Sustainability Metrics
Implement AI that not only analyzes traffic congestion but also suggests sustainable alternatives, like cycling routes or walking paths, helping reduce carbon emissions.