Route Determination Method for Air Quality Monitoring
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Solution Overview
Problem
Current air quality monitoring tools fail to precisely isolate and estimate pollutant emissions from road transport, especially in large or distant areas, due to oversimplification of route variability and emission contributions, limiting effective decision-making for infrastructure development and pollution reduction.
Innovation Solution
A method that acquires and groups geolocation data to determine representative trajectories and routes between geographic areas, using similarity measures like Fréchet distance, without requiring specific sensors, and applies microscopic emission models to quantify chemical and sound pollutants, thereby enhancing the accuracy of pollutant estimation and route analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current air quality monitoring tools use simplified methods assuming constant average speed and distance as the crow flies, then calculation time and computational resources are reduced, but measurement precision and reliability of pollutant emission estimates deteriorate
Solution Approach 1:
The patent segments the route analysis process into distinct components: determining multiple possible routes between origin and destination zones, calculating travel time for each route using speed limit data, and evaluating route variability metrics. This segmentation allows comprehensive analysis without requiring overly complex integrated systems, resolving the contradiction between precision and complexity.
Solution Approach 2:
The patent performs preliminary actions by pre-determining speed limit data for different road segments and pre-calculating possible routes between zones before conducting emission estimates. This preliminary preparation enables more accurate real-time calculations without increasing the complexity of the core emission estimation algorithm.
2Measurement precision
If discrete choice models consider limited possibilities with a small number of routes, then device complexity is reduced, but measurement precision of individual route choice behavior deteriorates
Solution Approach 1:
The patent applies local quality by focusing detailed analysis on the specific routes actually taken by individuals rather than uniformly analyzing all possible routes. By identifying and prioritizing the routes that users actually choose based on their behavior data, the system achieves high measurement precision for individual choice behavior without requiring complex analysis of every possible route alternative.
3Measurement precision
If network load problem approaches consider all origin/destination pairs across the entire transmission network, then measurement precision of comprehensive traffic states is improved, but loss of time and computational resources increase
Solution Approach 1:
The patent extracts and focuses on the most relevant routes and zones for analysis rather than processing all possible origin-destination pairs across the entire network. By identifying and isolating the key routes that contribute most to pollutant emissions and traffic patterns, the system achieves comprehensive traffic state accuracy for critical areas without the prohibitive computational cost of analyzing every possible route in the network.
4Measurement precision
If GPS data is collected with high frequency to capture accurate movement patterns, then measurement precision of trajectory data is improved, but loss of time and computational resources for processing increase
Solution Approach 1:
The patent applies partial action by collecting GPS data at optimized frequencies that capture essential movement patterns without excessive sampling. Rather than continuously tracking at maximum frequency, the system uses sufficient sampling intervals that capture route choice behavior and trajectory patterns accurately while maintaining acceptable processing efficiency, achieving the optimal balance between measurement precision and productivity.
Data Source
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AI summary
The present invention relates to a method for determining at least one route (rte) between a geographical origin zone (ZGO) and a geographical destination zone (ZGD). The method acquires measured geolocation data (MES), performs a grouping (REG1) of this geolocation data. Furthermore, the method determines possible routes between the two zones (GIS), and performs a grouping (REG2) of the possible route data. The association (FUS) of the representative trajectories (TR1, TR2) of the groupings of the two aspects allows for the deduction of at least one route (rte) between the two geographical zones.