Route Search Device Using Learned Route Segmentation
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Solution Overview
Problem
Navigation systems fail to distinguish between route types such as toll roads, ordinary roads, and narrow roads when incorporating learned routes, leading to potential mismatches with user search conditions, resulting in recommended routes that do not meet designated criteria.
Innovation Solution
A route search device and method that stores learned routes with type information and priority, allowing the selection of routes based on priority that meet specific search conditions, ensuring that only applicable learned routes are applied to the recommended route.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If learned routes are incorporated into recommended routes without distinction among route types, then the route replacement function is simplified and faster, but the accuracy of meeting user search conditions deteriorates
Solution Approach 1:
The learned routes are segmented by route type (toll road, ordinary road, narrow road) with each type stored separately in the storage unit. This segmentation allows the system to quickly identify and select appropriate learned routes based on the search condition, maintaining both speed and accuracy.
Solution Approach 2:
Different route types are assigned different local qualities (type information) that match specific search conditions. The application unit selects learned routes based on local matching between the search condition and the type information of each learned route, ensuring accurate route type matching while maintaining efficient selection.
2Device complexity
If all learned routes are applied without type distinction, then the device complexity is reduced, but the reliability of meeting search conditions deteriorates
Solution Approach 1:
The storage unit stores learned routes segmented by type information (toll road, ordinary road, narrow road). This segmentation adds minimal complexity to the data structure but significantly improves reliability by enabling the application unit to filter and select only those learned routes that match the search condition.
Solution Approach 2:
The type information is pre-associated with each learned route during the learning phase. This preliminary action allows the application unit to quickly filter and select appropriate learned routes based on search conditions without complex real-time analysis, maintaining both simplicity and reliability.
3Adaptability or versatility
If learned routes are selected based on priority order, then the adaptability to user preferences is improved, but the selection process complexity increases
Solution Approach 1:
The priority order of learned routes is predetermined and stored in the storage unit along with type information. This preliminary action allows the application unit to simply iterate through the pre-ranked list and select the first matching route, achieving high adaptability to user preferences without increasing selection process complexity.
Data Source
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AI summary
A technology for searching for a recommended route matched to a search condition is provided for route search that involves substitution with a learned route. A route search device comprises: a storage means to store therein, as learned routes, routes corresponding to sections where traveling deviated from recommended routes have been performed; a setting means to set a search condition matched a recommended route; a recommended-route search means to find a recommended route on the basis of the search condition; an application means to select any one of the learned routes that is applicable to the thus found recommended route, and apply the selected learned route to the recommended route; and a display means to display the recommended route to which the learned route has been applied. The storage means stores therein category information of the learned routes in association with the respective learned routes. The application means selects, from the storage means, any one of the learned routes that is associated with the category information matched to the search condition.