Navigation System Route Optimization Using Contextual Fuel Factors
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Solution Overview
Problem
Current navigation systems do not effectively optimize routes based on fuel usage, failing to account for various factors such as driving behavior, vehicle conditions, and contextual information, which limits their ability to provide the most fuel-efficient paths.
Innovation Solution
A navigation system that generates routes by determining a fuel usage factor based on context, including driving behavior, vehicle conditions, and other parameters, and calculates a fuel estimate to provide a fuel-optimization route for display on a device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If navigation systems provide multiple route options, then users have more choices, but the system complexity increases due to multiple evaluation factors
Solution Approach 1:
The patent segments the route evaluation process into distinct modules: a route generation module that creates multiple candidate routes, a context determination module that identifies user-specific conditions, a fuel usage factor calculation module that computes fuel consumption for each route, and a route selection module that chooses the optimal route. This segmentation allows the system to handle complexity through organized, independent functional blocks rather than a monolithic structure.
Solution Approach 2:
The system performs preliminary determination of context factors (such as vehicle type, driver behavior patterns, and environmental conditions) before route calculation begins. By pre-establishing these contextual parameters, the system avoids re-evaluating them for each route option, thereby reducing computational complexity while maintaining comprehensive route optimization capability.
2Measurement precision
If the system calculates fuel usage based on multiple factors, then fuel estimation accuracy improves, but the calculation time increases
Solution Approach 1:
The system pre-determines context factors such as vehicle characteristics, driver behavior patterns, and environmental conditions before initiating route calculations. By having these parameters ready in advance, the system eliminates the need to recalculate them for each route option, significantly reducing computation time while preserving the accuracy benefits of considering multiple factors.
Solution Approach 2:
The patent transforms complex fuel consumption calculations into a simplified mathematical model that uses standardized parameters (base fuel consumption rate, route-specific modifiers, and context-based adjustment factors). This parameterization allows the system to maintain high estimation accuracy while achieving computationally efficient calculations that can be performed rapidly.
3Productivity
If the system eliminates irrelevant routes based on context, then route selection efficiency improves, but the adaptability to different user needs decreases
Solution Approach 1:
The system applies context-based filtering selectively to different route options based on their specific characteristics. Rather than applying a uniform elimination criterion to all routes, the system evaluates each route against the determined context factors and eliminates only those that are demonstrably irrelevant to the user's specific situation. This preserves adaptability by maintaining routes that may be suboptimal in general but suitable for particular user needs.
Solution Approach 2:
The route elimination process is dynamic and adaptive, adjusting the strictness of filtering based on the determined context. When context indicates the user prioritizes certain factors (such as avoiding tolls or preferring scenic routes), the system dynamically adjusts which routes are eliminated and which are retained, ensuring that efficiency gains do not come at the cost of user-specific adaptability.
Data Source
AI summary
A method of operation of a navigation system includes: generating a route having a travel time and a travel distance; determining a context for using the route; determining a fuel usage factor based on the context for evaluating the route; calculating a fuel estimate for the route based on the fuel usage factor; and determining a fuel-optimization route based on the fuel estimate for displaying on a device.


