Navigation System POI Clustering for Route Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing navigation systems cannot efficiently search for and cluster multiple points of interest (POIs) simultaneously, either by generic names or specific categories, and lack the ability to process these results into optimized routing for users.
Innovation Solution
A navigation system comprising a processor, sensor, and navigation input module that receives destination and POI data from users, searches for POIs along potential route segments, and clusters them for simultaneous presentation on a navigational map, allowing for customizable search areas and focus values to optimize routing by speed and distance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the navigation system searches for multiple POIs simultaneously along potential route segments, then the completeness of POI identification is improved, but the search time and processing complexity increase
Solution Approach 1:
The navigation system divides the search process into segments by processing POIs along different potential route segments separately. The processor identifies POIs along each route segment independently and then integrates the results, allowing for efficient parallel processing and reducing overall search time while maintaining comprehensive POI identification.
Solution Approach 2:
The system performs preliminary actions by pre-identifying potential route segments and their associated POIs before final route selection. This allows the navigation system to prepare multiple POI lists in advance for different possible routes, enabling faster decision-making when the user needs to visit multiple POIs.
2Ease of operation
If the navigation system clusters POIs for simultaneous presentation, then the ease of operation is improved, but the device complexity increases
Solution Approach 1:
The navigation system merges multiple identified POIs into clustered groups based on their spatial relationships and relevance to the user's journey. By combining related POIs into single presentation units with aggregated information, the system simplifies the user interface while maintaining access to detailed POI data, thus improving ease of operation without requiring excessive computational complexity.
3Productivity
If the navigation system optimizes routing by speed and distance for multiple POIs, then the productivity is improved, but the calculation complexity increases
Solution Approach 1:
The navigation system implements dynamic routing optimization that adapts to different user preferences and conditions. The processor can dynamically switch between optimizing for speed, distance, or other criteria based on user input and real-time conditions, allowing efficient route calculation for multiple POIs while maintaining flexibility and avoiding excessive fixed complexity.
Data Source
AI summary
A navigation system, apparatus and method utilizing a processor and a sensor, operatively coupled to the processor to determine a location of the navigation system. A navigation input module is configured to receive destination data specifying a destination and a plurality of point-of-interest (POI) data from a user, where the navigation input module is further configured to receive a POI search area value defining an area of search for the POI data from potential route segments. The processor may utilize the POI search area value to search a plurality of areas along the potential route segments to identify at least some of the plurality of POI data that are in closest proximity to the destination, and wherein the processor may be further configured to cluster the identified POI data for simultaneous presentation on a navigational map.