5.4 Autonomous Driving and Intelligent Transportation

• Application Fields: Autonomous Vehicles, Smart Traffic Light Systems, Dynamic Traffic Planning

• Problems Solved:

  • Real-time Data Processing: Autonomous vehicles require real-time processing of massive amounts of data. CloudAI provides low-latency computing power support to ensure the safety and accuracy of vehicle decision-making.

  • Dynamic Resource Allocation: Through AI-driven resource management systems, CloudAI provides elastic computing support for peak traffic systems, optimizing road resource allocation.

  • Traffic Prediction and Analysis: Based on historical data and real-time traffic conditions, CloudAI supports intelligent traffic planning, providing scientific decision-making support for urban managers.

Actual Value: CloudAI's technology supports the development of autonomous driving and intelligent transportation, providing a reliable computing foundation for enhancing road safety and traffic efficiency.