Huawei and Yunnan Jiaotou Partner on AI-Powered Transport Model

Kunming, China — Huawei Technologies, Yunnan Provincial Transportation Investment Construction Group (Yunnan Jiaotou), and Chang'an University jointly launched the "Lvmei Channel · Transportation Large Model" this week, marking a significant step in applying artificial intelligence to modernize China's transportation infrastructure. The initiative drew over 100 industry leaders and experts to its Kunming unveiling.

Strategic Importance of AI in Transport

At the launch event, Ma Yue, Huawei's Vice President and CEO of Smart Transportation Division, emphasized: "As data emerges as a critical production factor, AI adoption has become inevitable for industrial advancement. Transportation—with its vast operational data and complex scenarios—represents a prime domain for AI implementation."

The two-year development effort yielded a comprehensive framework including:

• Intelligent computing center with hybrid computing architecture
• Curated industry datasets for model training
• AI platform toolchain for application development
• Scenario-specific solutions for construction, maintenance, and operations

Technical Implementation

The partners established robust infrastructure featuring:

• A big data center and disaster recovery facility
• 35 edge computing nodes
• Locally deployed Ascend AI processors capable of training 100-billion-parameter models
• Integration of Huawei's Kunpeng processors, Cloud Stack, and GaussDB

Through Huawei Cloud ModelArts Studio, the collaboration created a unified platform supporting: ✔ Data engineering pipelines
✔ Model development workflows
✔ Intelligent agent creation
✔ Multi-modal capabilities (NLP, computer vision, spatiotemporal analysis)

Performance Benchmarks

The model achieved an 84% accuracy rate in core transportation business applications—surpassing general-purpose AI models. Key functional areas include:

1. Industry cognition: Understanding regulatory/compliance frameworks
2. Traffic situational awareness: Real-time monitoring and prediction
3. Multi-modal scenario analysis: Integrating sensor data streams

Future Roadmap

The partnership plans to:

• Develop 30+ specialized AI services across construction/operations/maintenance
• Enhance model capabilities through continuous learning
• Expand safety and efficiency applications
• Support Yunnan's "Green Beauty Corridor Economy" development strategy

"This represents more than technological innovation—it's about reshaping transportation ecosystems through digital-physical integration," noted a Yunnan Jiaotou representative.

Key Points:

🔹 Strategic collaboration: Combines Huawei's tech with Yunnan Jiaotou's domain expertise
🔹 Comprehensive solution: From infrastructure to application layer
🔹 Proven accuracy: Outperforms generic models in transport scenarios
🔹 Scalable framework: Designed for continuous capability expansion