Navigation System Dynamic Route Supplement
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current navigation systems lack enhanced user comfort, operational reliability, and route calculation quality, particularly in providing diverse and optimized route options that consider various criteria such as travel time, energy efficiency, and scenic routes without requiring extensive updates or computational power.
Innovation Solution
The method involves a navigation system that supplements its own route options with vehicle-external data processing, allowing dynamic adjustment and filtering of route options based on user-selected criteria, including technical vehicle properties and usage history, to reduce computational load and enhance user control over data privacy and route selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If route options are calculated using multiple optimization criteria (travel time, length, energy efficiency), then the quality of route calculation is improved, but the computational complexity and processing time increase
Solution Approach 1:
The patent segments the route calculation process into multiple independent optimization criteria (travel time, route length, energy efficiency, scenic value). Each criterion can be calculated and evaluated separately, then combined to provide comprehensive route options. This segmentation reduces computational complexity by breaking down the complex optimization problem into manageable sub-problems that can be processed independently and then integrated.
Solution Approach 2:
The navigation system pre-calculates and stores multiple route options based on different optimization criteria before the user makes a selection. By performing preliminary calculations for various criteria (fastest route, shortest route, energy-efficient route, scenic route) in advance, the system avoids complex real-time computations when the user needs to choose, thereby reducing processing time and computational load during actual route selection.
2Ease of operation
If the navigation system provides diverse route options with multiple optimization criteria, then user comfort is improved, but the system requires more computational power and frequent updates
Solution Approach 1:
The navigation system is designed with multi-functionality to handle multiple optimization criteria (travel time, route length, energy efficiency, scenic value) within a single integrated platform. By making the system universal and capable of handling various route optimization scenarios simultaneously, it provides diverse route options that enhance user comfort without requiring separate specialized systems for each criterion, thereby optimizing computational resource utilization.
Solution Approach 2:
The system allows dynamic adjustment of optimization parameters and criteria weights based on user preferences and vehicle characteristics. By enabling parameter changes such as adjusting the importance of energy efficiency versus travel time, or modifying route options based on real-time traffic conditions and vehicle energy levels, the system provides personalized route recommendations that enhance user comfort while adapting computational requirements to actual needs rather than always calculating all possible route variations.
3Manufacturing precision
If the navigation system processes and stores extensive route data and user information, then the quality of route recommendations is improved, but data privacy concerns and system security risks increase
Solution Approach 1:
The patent extracts and processes only the essential data elements required for route calculation and recommendation (such as vehicle type, energy consumption patterns, and basic route parameters) while excluding sensitive personal information. By taking out only the necessary data components needed for generating quality route recommendations and discarding or anonymizing extraneous personal data, the system maintains high recommendation quality while minimizing data privacy risks and security concerns.
Solution Approach 2:
The system introduces data processing and anonymization mechanisms as intermediaries between raw user data and route calculation algorithms. These intermediary processes transform sensitive personal information into aggregated, anonymized statistics that preserve the quality of route recommendations (by maintaining accurate patterns of energy consumption and route preferences) while protecting user privacy by removing personally identifiable information before data is stored or processed for route optimization.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
Navigation systems which are installed in a vehicle conventionally offer the driver only a small number of possible route options, for example the fastest route, the shortest route, or the most energy-efficient route. These routes are set in the navigation system and can only be expanded upon servicing the vehicle via an update of the navigation system. Thus, new possible route options which offer online route planners for example are not quickly and easily integrated into navigation systems installed in a vehicle until now. Requesting additional route options from a vehicle-external data processing device, which provides different route options as well as the calculation of the corresponding routes, and expanding the route options set in the navigation system with said additional route options allows new or modified route options to be integrated into the navigation system in a dynamic manner. In particular, the route option for the fastest, the shortest, or the most energy-efficient route can be expanded with a route option for a scenic route or a route option which if necessary indicates a real-time authorization to drive on a specific road section, for example due to legal regulations.