Fuel Location Server Optimizing Route Costs
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Solution Overview
Problem
Conventional mapping and directions systems lack the ability to provide personalized information about fuel options along a route, failing to optimize fuel-related decisions for users.
Innovation Solution
An optimized fuel location server generates and transmits information about fuel prices, preferred vendors, and the most cost-effective route by analyzing fuel tank levels, user preferences, and fuel vendor locations, creating an interactive map to guide users to the best refueling points for maximum savings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional mapping systems provide basic fuel location information, then users can find gas stations within a given area, but the system cannot generate personalized results or optimize fuel-related decisions for specific users and scenarios
Solution Approach 1:
The system performs preliminary actions by collecting user profile information, vehicle specifications, and fuel consumption patterns in advance. This allows the system to generate personalized fuel recommendations without requiring complex real-time calculations, resolving the contradiction between personalization capability and system complexity
Solution Approach 2:
The patent introduces an intermediary processing layer that sits between basic location data and user recommendations. This intermediary layer processes fuel consumption data, route information, and user preferences to generate personalized results, enabling adaptability without directly increasing overall system complexity
2Productivity
If the system analyzes multiple factors including fuel tank levels, user preferences, and vendor locations, then it can provide optimized cost-effective routing, but this increases computational requirements and processing time
Solution Approach 1:
The system pre-processes and stores fuel consumption rates, route geometries, and vendor information in optimized data structures before they are needed for routing decisions. This preliminary preparation enables rapid query processing and reduces real-time computational requirements, resolving the contradiction between optimization efficiency and processing time
Solution Approach 2:
The patent implements a tiered analysis approach where the system performs essential calculations for all routes and optional enhanced analysis only when needed. This partial action strategy maintains high productivity for basic routing while reducing processing time for complex scenarios by avoiding unnecessary computations
Data Source
AI summary
Systems and methods may provide for generating and using information about fuel options along a predetermined route. An optimized fuel location server may use information related to the fuel efficiency in a given vehicle and information related to the amount of fuel currently present in a fuel tank associated with the vehicle to determine where along the predetermined route fuel will be required. The optimized fuel location server may also determine where the vehicle should stop for fuel to navigate the route in the lowest cost way possible. The optimized fuel location server may further consider user preferences, such as preferred fuel providers, in determining which fuel option should be used. Finally, the optimized fuel location server may be configured to send notifications (e.g., real-time, etc.) to a user device when the user device is within the vicinity of one or more fuel options.