Navigation System Deviation Cost Filtering
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Solution Overview
Problem
Current navigation systems do not consider user preferences when providing search results for intermediate points of interest, leading to suboptimal route deviations in terms of distance, time, and type of interest.
Innovation Solution
Implementing deviation cost-based filtering to prioritize intermediate points of interest based on user preferences, calculating total and route-deviation costs using factors like distance, travel time, traffic, and turn types, and adjusting routes to minimize overall travel costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If current navigation systems provide search results for intermediate points of interest without considering user preferences, then the system complexity remains low, but the route optimization quality deteriorates
Solution Approach 1:
The patent applies parameter changes by introducing multiple cost parameters (deviation cost, total cost, time cost, distance cost) to evaluate and filter points of interest. These parameters transform the route selection process from simple distance calculation to multi-dimensional optimization, improving route quality while managing system complexity through structured parameter management
Solution Approach 2:
The patent segments the route evaluation process into distinct cost components (deviation from original route, total travel time, total distance, traffic conditions). This segmentation allows the system to independently calculate and weight each factor, enabling sophisticated route optimization without requiring a completely complex integrated system
2Productivity
If the system calculates and filters points of interest based on multiple cost factors and user preferences, then the route optimization improves, but the calculation complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-calculating cost parameters for each point of interest before presenting them to the user. The system computes deviation costs, total costs, and other metrics in advance, allowing users to make informed decisions without experiencing real-time calculation delays during route planning
Solution Approach 2:
The patent implements partial action by calculating only the necessary cost parameters required for route optimization rather than analyzing all possible attributes of each point of interest. The system focuses on specific metrics (distance, time, deviation) that directly impact route efficiency, avoiding unnecessary computational overhead
3Ease of operation
If the system provides all intermediate points of interest without filtering, then the information completeness is high, but the user experience quality deteriorates due to irrelevant results
Solution Approach 1:
The patent applies dynamics by making the filtering criteria adjustable and adaptable to user preferences. The system dynamically adjusts which points of interest are displayed based on user-defined parameters such as maximum deviation distance, preferred time ranges, and importance weights for different cost factors, enhancing user experience while maintaining information relevance
Solution Approach 2:
The patent implements feedback mechanisms where the system presents filtered results to users and can adjust filtering parameters based on user selections and preferences. This feedback loop ensures that the information provided remains complete yet relevant, as the system learns from user interactions to refine future recommendations
Data Source
AI summary
Determination of a most efficient intermediate destination while traveling toward a primary destination is provided. With respect to its effect on the primary destination, the most efficient intermediate destination such as a fast-food restaurant, gas station, ATM, etc., may be determined. The navigation system may search in a user-defined radius for all intermediate destinations and present the deviation costs associated with each destination thereby allowing the user to choose the most efficient option. The deviation costs may be determined by the navigation system with respect to user preferences for minimizing time, minimizing distance, minimizing fuel consumption, restaurant preferences, and the like, and their impact on the primary destination arrival time.