Cumulative Precipitation Calculation for Soft Mobility Routes
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Solution Overview
Problem
Current navigation systems are inadequate for determining cumulative precipitation along shorter routes taken by sensitive means of locomotion like bicycles, as they provide only point-based meteorological information and are not suited for soft mobility, lacking overall precipitation data.
Innovation Solution
A method that defines the route, identifies crossing points, associates meteorological parameters, and calculates the accumulation of bad weather using a speed model of the locomotion method, implemented on computer devices to provide comprehensive precipitation data for the entire journey.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If online weather services are used to provide meteorological information along a route, then weather information is available at certain points, but cumulative precipitation information over the entire journey is not provided
Solution Approach 1:
The route is divided into multiple segments between successive crossing points, and precipitation is calculated for each segment separately using the speed model and meteorological data, then summed to obtain total cumulative precipitation for the entire journey
Solution Approach 2:
A speed model of the means of locomotion serves as an intermediary to translate meteorological parameters at crossing points into cumulative precipitation values along the route, enabling accurate calculation without requiring direct measurement at every point
2Adaptability or versatility
If large-scale online weather services are used, then weather data is available, but the services are poorly suited to soft mobility means of locomotion that cover shorter distances
Solution Approach 1:
The system identifies specific crossing points along the route where meteorological parameters are obtained, focusing measurements on locally relevant points rather than providing generic area-wide weather data, thereby improving precision for short-distance soft mobility journeys
3Loss of information
If only point-based meteorological information is provided, then data availability is maintained, but overall precipitation data for the entire journey is lacking
Solution Approach 1:
The speed model of the means of locomotion is pre-established and stored in the computer means, allowing rapid calculation of cumulative precipitation when needed, rather than computing from scratch each time weather information is required
Data Source
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AI summary
The present invention relates to a method for determining the cumulative amount of weather conditions over a route to be traveled. The method comprises steps for determining the route (TRA) to be traveled, identifying points (POI) of passage on the route, for which a meteorological parameter (PAR) is associated, and a step for determining the cumulative amount (CUM) of weather conditions as a function of the determined route, the meteorological parameter, and a speed model (MOD) of the means of locomotion used.