https://github.com/coderj001/smart_city_traffic_management_system
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.
https://github.com/coderj001/smart_city_traffic_management_system
Last synced: 8 months ago
JSON representation
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.
- Host: GitHub
- URL: https://github.com/coderj001/smart_city_traffic_management_system
- Owner: coderj001
- Created: 2023-11-08T20:43:08.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-11-14T00:12:38.000Z (over 2 years ago)
- Last Synced: 2025-09-04T04:44:29.439Z (9 months ago)
- Language: Go
- Size: 94.7 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
### Coding Challenge: Smart City Traffic Management System
#### Brief:
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.
#### Key Components:
1. **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).
2. **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.
3. **API Development**:
- Develop a RESTful API using Go.
- Implement endpoints for real-time traffic data, historical data retrieval, sensor status updates, and incident reporting.
4. **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.
5. **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.
6. **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.
7. **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.
8. **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.
#### Real-Life Application:
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.
#### Skills Tested:
- 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.