Adaptive Route Guidance Engine Avoiding Disfavored Locations
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Solution Overview
Problem
Current navigation systems lack intelligence in route suggestions, often ignoring user preferences for disfavored routes or locations, and do not facilitate easy changes in route while en route to a destination.
Innovation Solution
A system comprising a preference engine, destination engine, routing engine, and presentation engine that receives user preferences for disfavored routes or locations, analyzes potential routes based on these preferences, and presents alternative routes that avoid disfavored progressions or locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If navigation systems provide basic route guidance from origin to destination, then navigation functionality is achieved, but user preference intelligence is lacking and routes may include disfavored locations
Solution Approach 1:
The system performs preliminary actions by collecting and storing user preference data about disfavored routes and locations before navigation is needed. This advance preparation allows the routing engine to quickly filter out unwanted routes when providing navigation guidance, resolving the contradiction between basic route guidance and user preference adaptation.
Solution Approach 2:
The system implements feedback mechanisms where user responses to suggested routes and actual navigation behavior are continuously monitored. This feedback loop allows the system to learn from user decisions and improve route suggestions over time, enhancing both the reliability of guidance and adaptability to user preferences.
2Productivity
If navigation systems recommend a single optimal route, then routing efficiency is improved, but flexibility for real-time route changes is reduced
Solution Approach 1:
The system applies dynamics by providing a primary recommended route while maintaining the capability to dynamically generate alternative routes in real-time. When users need to deviate or when conditions change, the system can quickly recalculate and present new route options, thus maintaining routing efficiency while enabling real-time flexibility.
Solution Approach 2:
The routing system segments route options into a primary recommended route and multiple alternative routes. This segmentation allows the system to present a clear primary path for efficient navigation while having pre-calculated or quickly generatable alternatives ready for real-time changes, resolving the contradiction between efficiency and flexibility.
3Device complexity
If navigation systems ignore user knowledge about routes, then system simplicity is maintained, but user intelligence is wasted and user satisfaction decreases
Solution Approach 1:
The system implements self-service by automatically collecting user preference information from navigation behavior and route selections without requiring explicit user input. The routing engine autonomously learns which routes and locations users prefer to avoid, integrating this knowledge into route calculations while maintaining relative system simplicity.
Data Source
AI summary
Adaptive route guidance can include analyzing route progressions associated with one or more routes based on multiple user preferences. The adaptive route guidance can provide one or more preferred routes based on the user preferences, which can be presented to a user for navigation purposes.