Tag
This paper presents a schema-grounded natural language interface for transportation safety analysis that uses a large language model to interpret user queries while preserving deterministic execution against an authoritative database. The framework is evaluated on a Massachusetts transportation safety database, successfully executing all queries and correcting errors in 29% of cases, demonstrating a practical approach to broadening access to safety data.
This paper introduces a composite-move Tabu search algorithm for spatial redistricting that improves solution quality and efficiency while preserving contiguity constraints.
PangeAI is a product offering instant, agent-driven spatial analysis and decision-making capabilities.