Develop a backend API for a simulated Smart City Traffic Management System. This system should use real-time data to monitor and manage city traffic flow.
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Traffic Sensor Simulation:
- Each sensor has properties like location (latitude, longitude), data output rate (seconds), and status (active/inactive).
- Sensors provide data such as vehicle count, average speed, and incident reports (e.g., accidents or roadblocks).
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Data Management:
- Implement a PostgreSQL database to store sensor data, traffic alerts, and historical traffic patterns.
- Design an efficient schema that can handle high-frequency data updates and queries.
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API Development:
- Develop a RESTful API using Go.
- Implement endpoints for real-time traffic data, historical data retrieval, sensor status updates, and incident reporting.
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Redis Caching:
- Use Redis for caching frequent API requests, such as current traffic conditions or recent incidents, to enhance performance.
- Cache should be configurable and refresh at a regular interval.
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Docker Integration:
- Create Dockerfile and a Docker Compose setup to containerize the Go application, PostgreSQL, and Redis.
- Ensure the system can be easily started with minimal setup commands.
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API Documentation and Testing:
- Document the API using Swagger or a similar tool.
- Write end-to-end tests covering all aspects of the system, ensuring data accuracy and API reliability.
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Real-Time Data Simulation and Analysis:
- Simulate real-time traffic data for a hypothetical city grid.
- Implement logic for data analysis, like detecting high-traffic zones, peak times, and potential incidents.
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Advanced Features:
- Include features like dynamic traffic alerts based on sensor data (e.g., rerouting suggestions during high traffic or incidents).
- Implement an admin interface for traffic authorities to update sensor status or broadcast city-wide traffic notifications.
This system mimics a real-world Smart City traffic management scenario, where handling large volumes of data efficiently and providing real-time insights is crucial. It combines backend development with IoT (Internet of Things) data simulation and real-time data processing, making it a comprehensive challenge for modern full-stack development skills.
- Backend Development (Golang)
- API Design and Documentation
- Database Schema Design and Management (PostgreSQL)
- Real-Time Data Processing and Caching (Redis)
- Docker Containerization and Orchestration
- End-to-End Testing and Simulation Logic
This challenge offers a hands-on experience in developing a system that could be part of a larger Smart City infrastructure, testing a developer's ability to handle large-scale, real-time data processing and management tasks.