Wildfire Evacuation Vulnerability Mapping for Critical Road Failure
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Solution Overview
Problem
Existing wildfire evacuation simulation methods are computationally burdensome, require significant data collection, and often oversimplify evacuation scenarios, failing to consider realistic origin-destination pairs and wildfire impact on roads, which limits their applicability and effectiveness in identifying vulnerable areas and critical roads.
Innovation Solution
A graph-theoretic method using publicly available traffic network data to evaluate wildfire evacuation vulnerability, incorporating explainable indicators for origin-destination pairs and failure probabilities, employing a modified Dijkstra algorithm to identify critical roads and vulnerable areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If simulation-based studies are used to evaluate evacuation strategies, then evacuation performance can be estimated, but data collection requires significant time and computational resources
Solution Approach 1:
The patent replaces complex simulation-based evacuation evaluation with a graph-theoretic mathematical model. Instead of using computational simulations that require extensive data collection and processing, the invention uses graph theory to represent evacuation networks and calculate vulnerability metrics analytically, significantly reducing computational time and resource requirements while maintaining evaluation reliability.
Solution Approach 2:
The patent transforms the evaluation approach by changing from simulation-based temporal-dynamic parameters to static graph-theoretic parameters. By representing evacuation networks as graphs with nodes and edges, and using parameters like betweenness centrality and closeness centrality, the method converts complex simulation problems into manageable mathematical calculations that require minimal data collection.
2Reliability
If simulation-based studies are used to evaluate evacuation strategies, then evacuation performance can be estimated, but computational burden increases significantly
Solution Approach 1:
The patent replaces computationally intensive simulation systems with a mathematical graph-theoretic framework. This substitution eliminates the need for complex computational simulations, reducing energy consumption and computational resource requirements while maintaining the ability to estimate evacuation performance through analytical calculations.
Solution Approach 2:
The patent creates a simplified mathematical representation (graph model) that copies the essential structure of the evacuation network without requiring full-scale simulation. By using graph theory to represent roads, intersections, and evacuation flows, the method captures critical evacuation dynamics with minimal computational effort compared to full simulation approaches.
3Reliability
If simulation-based studies are used, then evacuation scenarios can be evaluated, but results are limited to specific scenarios considered in the analysis
Solution Approach 1:
The patent develops a universal graph-theoretic framework that can evaluate multiple evacuation scenarios simultaneously. By representing the evacuation network as a graph with defined nodes and edges, the model can analyze various scenarios (different fire locations, evacuation timing, road closures) using the same mathematical framework, making the results applicable to multiple scenarios without requiring separate analyses for each.
Solution Approach 2:
The patent segments the evacuation network into discrete graph components (nodes representing locations, edges representing roads). This segmentation allows the model to systematically evaluate different scenarios by manipulating specific graph elements while maintaining the overall structure, enabling versatile application to various evacuation scenarios through a unified approach.
4Measurement precision
If comprehensive data collection is performed for evacuation evaluation, then evaluation accuracy improves, but evaluation time and resource requirements increase
Solution Approach 1:
The patent replaces data-intensive simulation approaches with a graph-theoretic mathematical model that requires minimal input data. By using graph theory to represent evacuation networks and calculating vulnerability metrics analytically, the method achieves high evaluation accuracy without the extensive data collection and processing required by simulation-based approaches, significantly improving evaluation efficiency.
Solution Approach 2:
The patent changes the type of data required from extensive simulation inputs to minimal graph structure information. By transforming the evaluation into a mathematical problem involving graph properties (nodes, edges, connectivity), the method reduces data collection requirements while maintaining measurement precision through analytical calculations of graph-theoretic parameters.
Data Source
AI summary
Disclosed is a method and apparatus for evaluating wildfire evacuation vulnerability. A wildfire evacuation vulnerability evaluation method may include identifying wildfire vulnerable areas and critical roads for wildfire evacuation within the wildfire vulnerable areas through a wildfire evacuation vulnerability measure based on origin-destination pairs and failure probability for each road due to wildfires.