Geographical Reachability Analysis via Spatial Grid Graphs
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current planning tools for geographical statistical determinations face inaccuracies, incomplete information, and slow operation, making them inefficient for real-time and cost-effective analysis of accessibility to destinations and resources.
Innovation Solution
A method and system that use a computing device to process a dataset in a spatial format, determining a grid of cells and a graph based on geographical areas, assigning statistics to nodes and edges, and calculating reachability statistics, which can include time and transportation modes, to provide accurate and real-time results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If current planning tools are used to analyze geographical locations and design transportation networks, then comprehensive statistical analysis can be performed, but the operation is slow and cannot provide real-time results
Solution Approach 1:
The geographical area is divided into a grid of cells with origin points, and the transportation network is represented as a graph with nodes and edges. This segmentation allows the system to process and analyze different regions independently, improving operation speed and enabling real-time statistical determinations for transportation planning.
2Measurement precision
If current planning tools are used for geographical statistical determinations, then analysis can be performed, but the results suffer from inaccuracies and incomplete information
Solution Approach 1:
The system performs reachability analysis by determining which destinations are accessible from each origin point within specified constraints (time, distance, transportation modes). This feedback mechanism ensures accurate statistical determinations by systematically evaluating all possible routes and destinations, providing complete and precise information for planning decisions.
3Productivity
If traditional methods are used for calculating reachability statistics, then results can be obtained, but the calculation is expensive and time-consuming
Solution Approach 1:
The system pre-determines the graph structure representing the transportation network and performs reachability analysis from each origin point in the grid. By preparing these calculations in advance and storing the results, the system avoids repeating expensive computations, thereby improving calculation speed and reducing computational costs for real-time planning queries.
Data Source
AI summary
A system and method for predicting stats for different destinations is provided. The system and method can include receiving a dataset of stats in a spatial format and a request for stats in a geographical area. The system and method can include determining a grid of cells based on the geographical area, determining an origin point in each cell in the grid of cell, determining a graph based on the grid of cells, determining a proportion of the stat to assign to each node, edge or both in the graph in the geographical area based on an overlap between the dataset of stats and the graph, and determining a total for the stat for the geographical area.