1. Introduction

Urban transportation systems are facing numerous challenges, including congestion, accidents, and environmental pollution. To address these issues, smart cities are leveraging AIoT and data analytics to optimize traffic management. BrandPC offers a comprehensive solution that enhances traffic management efficiency by integrating AIoT hardware and DevSecOps tools.

2. Technology Solutions

✅ AIoT Hardware

• Smart AI Cameras: License plate recognition, traffic behavior analysis.
• Industrial IPC Computers: On-site data processing to reduce bandwidth load.
• IoT Sensors: Vehicle counting, real-time data collection.
• Traffic Information Displays: Live traffic updates for drivers.

✅ DevSecOps Tools & Data Analytics

• Elasticsearch: Real-time traffic data processing and analysis.
• GitLab CI/CD: Fast deployment of traffic monitoring software updates.
• Solo.io: API management across smart traffic systems.
• Vault: Secure data storage and traffic information protection.

3. Real-World Applications

🎯 Case Study – Singapore

• Singapore implemented the TrafficSmart AI system, utilizing AI cameras and IoT sensors for real-time traffic data collection.
• The system dynamically adjusts traffic lights based on vehicle flow, reducing red light waiting times by 25% and improving overall traffic efficiency.
• Elasticsearch-powered analytics help authorities predict congestion hotspots and optimize traffic routes.

4. Key Benefits

✔ Reduced traffic congestion: Adaptive traffic control based on real-time vehicle density.
✔ Enhanced safety: Detection of traffic violations and hazardous behaviors.
✔ Improved user experience: Real-time traffic updates via apps and display screens.
✔ Urban planning support: Traffic data aids in infrastructure expansion and city development.

5. Conclusion

BrandPC’s smart traffic monitoring solution enhances traffic management efficiency, improves commuting experiences, and supports sustainable urban development.