Dynamic Graph Network for Evacuation Route Updates
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current humanitarian logistics efforts face challenges in effectively communicating and updating evacuation route information during natural disasters, particularly in unpredictable environments like remote areas, where road conditions change rapidly, making it difficult to determine safe and accessible routes for people and resources.
Innovation Solution
A system that receives and processes geospatial data to generate directed graphs, updates these graphs based on event data, and uses machine learning to identify shelters and provide navigation directions, enabling intuitive and up-to-date user interfaces for guiding people through available routes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If visual inspection of static road network maps is used for evacuation routing, then decision-making simplicity is maintained, but route accuracy and real-time reliability deteriorate due to unpredictable road condition changes during disasters
Solution Approach 1:
The patent replaces manual visual inspection of static maps with an automated computational system that processes geospatial data, event data, and road condition information through graph network algorithms to dynamically determine evacuation routes, thereby improving reliability without requiring proportional increases in operational complexity
Solution Approach 2:
The patent introduces a computational processing system as an intermediary between raw data sources (geospatial data, event data) and decision-makers, transforming multiple data inputs into processed route recommendations that improve reliability while shielding users from underlying system complexity
2Adaptability or versatility
If static road network maps are used for evacuation planning, then data processing requirements are minimized, but adaptability to changing road conditions during disasters deteriorates
Solution Approach 1:
The patent transforms static road network maps into dynamic graph networks that automatically update based on incoming event data and road condition changes, enabling the system to adapt to changing disaster conditions while managing data processing complexity through structured graph representations
Solution Approach 2:
The patent creates a multi-functional processing system that handles geospatial data, event data, road condition data, and route calculation within a unified graph network framework, improving adaptability across different disaster scenarios while consolidating data processing requirements into a single versatile system
3Measurement precision
If comprehensive geospatial data processing and graph network updates are implemented for real-time route identification, then route accuracy and safety are improved, but computational resource consumption increases
Solution Approach 1:
The patent segments the computational process into distinct modules: graph network construction from geospatial data, separate event data processing for road condition updates, and dedicated shortest path calculation, allowing each segment to be optimized independently to reduce overall computational energy consumption while maintaining high route identification precision
Solution Approach 2:
The patent performs preliminary construction of the base graph network from geospatial data before disaster events occur, pre-processing road networks and spatial relationships in advance, so that during disasters only event data integration and route calculation are needed, significantly reducing real-time computational energy consumption while maintaining high precision
Data Source
AI summary
A device may receive geospatial data identifying roads and buildings in a geographical region, and may transform the geospatial data into geospatial objects for the roads and the buildings. The device may correlate shelter data with the geospatial objects to generate correlated data that includes the geospatial objects and the shelter data. The device may process the correlated data to add bounding boxes around the geospatial objects corresponding to the shelters to generate modified correlated data. The device may correlate road weight and type data with the modified correlated data to generate final geospatial data, and may convert the final geospatial data into a directed graph. The device may receive event data identifying an event and inaccessible roads caused by the event, may update the directed graph based on the event data to generate an updated directed graph, and may provide a representation of the updated directed graph for display.