Mobility Insight Planning With Multi-Tool Natural Language Queries
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Solution Overview
Problem
Existing systems require specialized expertise to analyze vast amounts of mobility-related data, limiting accessibility and the types of questions that can be asked about traffic networks, especially for untrained users.
Innovation Solution
A system utilizing a large language model manager interfaced with a user interface and multiple tools, capable of generating natural language answers by identifying and interacting with data sources and services to provide insights, even when insufficient information is initially available.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If specialized database tools and trained analysts are used to analyze mobility data, then analysis accuracy and depth are improved, but accessibility and ease of operation deteriorate for untrained users
Solution Approach 1:
The patent introduces a natural language processing interface as an intermediary between users and complex database tools. This intermediary translates simple user questions into sophisticated database queries, enabling untrained users to access advanced analytical capabilities without needing to understand the underlying complexity. The system acts as a mediator that bridges the gap between user simplicity and system sophistication.
Solution Approach 2:
The system creates a simplified copy or representation of complex database query capabilities through natural language processing. Instead of requiring users to master complex query languages and database tools, the system captures the essence of analytical needs through natural language and translates them into effective queries, providing a lightweight copy of expert-level analysis capabilities.
2Measurement precision
If traditional specialized tools are used for data analysis, then analytical depth is improved, but analysis speed and responsiveness deteriorate
Solution Approach 1:
The system performs preliminary actions by pre-processing and organizing mobility data into accessible formats before user queries are submitted. Data is pre-aggregated, pre-filtered, and pre-structured so that when natural language queries arrive, the system can quickly retrieve and analyze relevant information without performing lengthy processing operations from scratch.
Solution Approach 2:
The patent replaces traditional mechanical database querying mechanisms with intelligent natural language processing. Instead of requiring users to manually construct complex queries and the system to execute lengthy processing sequences, the natural language interface automatically interprets intent and retrieves answers more directly, substituting automated linguistic understanding for manual query construction and execution.
3Loss of information
If comprehensive data sources are integrated, then insight completeness is improved, but system complexity increases
Solution Approach 1:
The natural language processing interface serves as a universal access point that handles multiple data sources, query types, and analysis functions through a single unified mechanism. Instead of requiring separate tools for different data sources and query types, the universal interface translates diverse user questions into appropriate queries across multiple data sources, consolidating complexity into a single multi-functional system.
Solution Approach 2:
The system merges multiple data sources, processing mechanisms, and output formats into a unified natural language interface. By combining diverse mobility data sources (GPS data, traffic sensors, incident reports) and various analytical functions into a single integrated system accessed through natural language, the patent reduces the apparent complexity for users while maintaining comprehensive data integration in the backend.
Data Source
AI summary
A first plan is generated for producing a natural language answer to a user request. The first plan includes identification of a first tool from a plurality of tools and identification of a first tool input to provide to the first tool. If there is not sufficient information to generate the natural language answer, then an additional tool name from the plurality of tools is identified and an additional tool input is identified to provide to the additional tool. Once there is sufficient information, the natural language answer is provided in response to the user request.