V2V Map Data Download via Route Matching
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Solution Overview
Problem
The existing methods for updating map data on navigation devices, such as online downloads, incur excessive communication fees due to increased data usage.
Innovation Solution
A method and system utilizing Vehicle to Vehicle (V2V) technology to download the latest map data by receiving scheduled driving routes from adjacent vehicles, determining identical path matching percentages, and transferring map data from vehicles with high matching percentages, thereby reducing reliance on server updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If online download scheme is used to update map data from server, then real-time road information can be received, but excessive communication fee is incurred due to increased data usage
Solution Approach 1:
Adjacent vehicles act as intermediaries to transfer map data to the target vehicle through short-range communication. Instead of directly downloading from server, the system uses nearby vehicles as data sources, reducing cellular data usage while maintaining access to updated map information.
Solution Approach 2:
The system copies map data from adjacent vehicles that have recently downloaded updates. By utilizing the copied data from neighboring vehicles rather than performing a complete online download, the system reduces communication fees while keeping navigation information current.
2Reliability
If map data is updated frequently from server, then latest map data is obtained, but data usage and communication cost increase
Solution Approach 1:
Instead of performing a complete map data download, the system performs a partial download by obtaining only the necessary updates from adjacent vehicles. This partial action approach reduces data usage while still achieving the goal of having the latest map information.
Solution Approach 2:
Adjacent vehicles that have already downloaded map data from the server become self-service data sources for other vehicles. The system leverages the existing data in nearby vehicles rather than requiring every vehicle to independently download from the server, reducing overall data consumption in the network.
3Loss of energy
If V2V technology is used to transfer map data between vehicles, then communication fee is reduced, but requirement for adjacent vehicles with matching routes is needed
Solution Approach 1:
The system performs preliminary actions by calculating identical path matching percentages between the target vehicle's route and adjacent vehicles' routes before initiating data transfer. This preliminary route matching ensures that data is only requested from vehicles with compatible routes, simplifying the selection process and reducing unnecessary communication overhead.
Solution Approach 2:
The system changes the parameter of route compatibility by introducing identical path matching percentage as a selection criterion. By adjusting this parameter, the system can flexibly determine which adjacent vehicles are suitable data sources, balancing between finding enough candidates and maintaining route relevance.
Data Source
AI summary
A method for downloading latest map data and being performed by a navigation device of a vehicle includes receiving a scheduled driving route stored in a local storage within each of a plurality of adjacent vehicles from each of the plurality of adjacent vehicles. The plurality of adjacent vehicles is adjacent to the vehicle having the navigation device. The method also includes obtaining identical path matching percentage information about each of the plurality of adjacent vehicles based on the scheduled driving route. The method also includes receiving the latest map data stored in the local storage within an adjacent vehicle having the identical path matching percentage exceeding a first reference value. The method also includes providing a benefit to the adjacent vehicle that transmits the latest map data.