Map Update Data Delivery for Consistent Road Link and Guidance Information
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Solution Overview
Problem
Existing map update technologies fail to ensure consistency between road link data and guidance information data for new highway entrances/exit, leading to inconsistent map guidance when these data sets are not simultaneously updated due to lack of defined referential relationships in the map data format.
Innovation Solution
A map update data delivery method that identifies and updates both road link data and guidance information data by searching for related update data within a predetermined distance, using road link relation and facility category relation information to ensure semantic consistency, even if they do not have direct referential relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If only road link data for highway entrance/exit is updated, then road link data is updated, but guidance information data becomes inconsistent
Solution Approach 1:
The system performs preliminary identification of semantically related data sets before the update operation. By analyzing semantic relationships (such as highway entrance/exit link data being semantically related to road guide signpost guidance information), the system proactively determines which additional data sets need to be updated together, preventing inconsistency before it occurs.
Solution Approach 2:
The system introduces an intermediary semantic relationship analysis mechanism that acts as a mediator between directly referenced data and related data. This intermediary layer identifies semantic connections (e.g., through keyword matching, spatial relationship analysis) that are not captured by direct referential relationships, ensuring that semantically related data sets are updated together.
2Reliability
If update scope is expanded to include semantically related data, then data consistency is improved, but update complexity increases
Solution Approach 1:
The system segments the update operation into distinct phases: (1) identification of the primary update target, (2) semantic relationship analysis to identify related data sets, (3) determination of update scope, and (4) execution of coordinated updates. This segmentation makes the complex update process more manageable and systematic.
Solution Approach 2:
The system implements feedback mechanisms where the results of semantic relationship analysis feed back into the update scope determination. The system continuously evaluates whether identified data sets should be included in the update based on the strength and relevance of semantic relationships, allowing for dynamic adjustment of update scope.
Data Source
AI summary
A map update data delivery method includes: storing update unit data compiled in correspondence to each set of update data used to update map data in a specific version to map data in another version for a map element by incorporating update data for another map element that must also be updated in coordination with a change made for the map element; searching for base update data needed to update a map data for a map element designated as an update target in a map area specified at a terminal as a map data update target; searching for related update data with a relation to contents of update data included in the base update data searched; and transmitting the base update data and the related update data to the terminal.