Predictive Vehicle Task Scheduling via Remote Data Pre-fetching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Vehicle computers take significant time to execute complex functions such as route planning and data retrieval, causing frustration to occupants as they wait for data to be processed and presented.
Innovation Solution
A vehicle system that predicts the key-on time and requests optimization data from a remote server ahead of time, including traffic information, route planning, and other relevant data, to make it available immediately upon vehicle use by anticipating the next destination based on historical data and user habits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the vehicle computer executes complex functions such as route planning and data retrieval, then the data processing capability is improved, but the wait time for occupants increases
Solution Approach 1:
The system performs complex data processing functions in advance by predicting when the vehicle will be next used and pre-fetching optimization data from remote servers during idle periods. This preliminary action ensures that when the occupant enters the vehicle, the data is already processed and ready for immediate display, eliminating wait time while maintaining high processing capability
2Loss of information
If the vehicle system requests optimization data from remote server immediately upon key-on, then the data freshness is improved, but the response time to occupant needs worsens
Solution Approach 1:
Instead of waiting for key-on to request data, the system predicts the key-on time based on historical usage patterns and destination information, then proactively requests optimization data from remote servers before the vehicle is actually used. This ensures both data freshness and immediate availability when the occupant needs it
3Measurement precision
If the vehicle computer processes all optimization data locally, then the data processing accuracy is improved, but the device complexity increases
Solution Approach 1:
The system extracts complex data processing tasks from the vehicle computer and relocates them to remote servers. The vehicle computer only needs to send location and destination information to the server, receive the processed optimization data, and display it. This maintains processing accuracy while dramatically reducing the complexity and computational burden on the vehicle computer
Data Source
AI summary
A vehicle system includes a processor having a memory. The processor is programmed to predict a vehicle key-on time based on a next destination of a vehicle. The processor is further programmed to request, at a predetermined amount of time before the key-on time, optimization data from a remote server.