Invention Reference Number
A new AI-powered decision support system improves how urban planners and logistics managers access and apply domain-specific knowledge. By enhancing data-driven and simulation-based decision-making, this technology helps overcome bottlenecks optimization for freight and urban systems.
Description
This invention integrates generative AI, specifically large language models, with a custom-built knowledge framework to support complex decision-making in urban and logistics systems. A unique mixture-of-experts approach allows domain-specific AI agents to synthesize insights from research literature and technical documents. These agents operate within a semantic infrastructure that incorporates ontologies and knowledge graphs to automate reasoning, optimization, and software development tasks. The system dynamically responds to real-time data and user queries, providing actionable insights and enabling more resilient and efficient urban logistics planning. It is designed for scalability, adaptability, and seamless integration into existing digital platforms.
Benefits
- Provides expert-level, AI-driven recommendations for complex urban and logistics decisions
- Reduces reliance on manual data synthesis and expert consultation
- Scales easily with evolving urban management needs and technologies
- Offers cost-effective and adaptive support through automated knowledge retrieval and analysis
Applications and Industries
- Smart city infrastructure and planning
- Freight transportation and logistics optimization
- Government agencies managing urban mobility
- AI and data analytics platform providers
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.
