Dynamic Navigation Routes With Fueling Stops and Fewer User Inputs
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Solution Overview
Problem
Existing navigation systems do not efficiently incorporate fueling station information into navigation routes, leading to increased user interaction time and processor power usage, particularly when operating vehicles.
Innovation Solution
Electronic devices are configured to provide navigation routes that can include or exclude fueling stations, allowing users to modify these routes based on fueling station information, thereby reducing cognitive burden and processing requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If navigation systems manually calculate routes considering fueling stations, then route accuracy improves, but user interaction time increases
Solution Approach 1:
The system pre-calculates and stores multiple navigation routes with different fueling station configurations before the user needs them. When a user requests navigation, the pre-computed routes are immediately available for selection, eliminating the need for manual real-time calculation while maintaining route accuracy.
Solution Approach 2:
The navigation system dynamically adjusts route options based on real-time vehicle fuel levels and user preferences. The system automatically generates alternative routes with fueling stations when needed, rather than requiring manual user input, making the route calculation adaptive and responsive to changing conditions.
2Productivity
If navigation systems continuously process route modifications, then route optimization improves, but processor power usage increases
Solution Approach 1:
The system performs route optimization at periodic intervals or triggered by specific events (such as fuel level thresholds) rather than continuously. This reduces processor power usage while maintaining effective route optimization by recalculating routes only when necessary based on changing vehicle or route conditions.
Solution Approach 2:
Multiple routes with different fueling configurations are pre-calculated and stored in memory. The processor only needs to retrieve and compare these pre-computed routes rather than performing continuous optimization calculations, significantly reducing power consumption while maintaining optimization quality.
3Loss of information
If navigation systems provide detailed fueling station information, then user awareness improves, but information processing requirements increase
Solution Approach 1:
The system provides detailed fueling station information selectively based on user needs and vehicle conditions. Instead of displaying all possible information continuously, the system presents relevant fueling details (such as station locations, fuel types, and distances) only when the vehicle approaches fuel thresholds or when users specifically request such information, reducing overall processing requirements.
Solution Approach 2:
The information display dynamically adjusts based on vehicle fuel levels and navigation context. The system automatically highlights fueling station information when fuel levels are low or when approaching planned fueling points, and minimizes such information when fuel levels are adequate, optimizing the balance between user awareness and processing requirements.
Data Source
AI summary
Some embodiments described in this disclosure are directed to one or more electronic devices that are configured to provide navigation routes that can be modified to include fueling stations. Some embodiments described in this disclosure are directed to one or more electronic devices that are configured to provides the navigation routes in accordance with user preferences.