Vehicle Route Planning for Stable OTA Updates
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Solution Overview
Problem
Existing technologies face challenges in stably executing the download of update data for vehicles during travel, as communication speeds can vary significantly, leading to unstable data transfer.
Innovation Solution
An information processing device with a control unit that acquires a route based on communication speed maps to create a plan for downloading update data during vehicle travel, ensuring stable communication by selecting routes with higher communication speeds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If update data is downloaded during vehicle travel using existing technologies, then download can be performed outside of maintenance periods, but communication speed variability causes unstable data transfer
Solution Approach 1:
The system performs preliminary actions by acquiring communication speed maps in advance and predicting communication speeds for future routes before the actual download occurs. This allows the system to pre-select optimal routes and timing for downloads, ensuring stable communication before the download process begins during vehicle travel.
Solution Approach 2:
The system dynamically adjusts download plans based on predicted communication speeds for different routes and time periods. By continuously evaluating communication conditions and modifying download schedules, the system adapts to varying communication environments during vehicle travel, maintaining reliable data transfer despite changing conditions.
2Productivity
If download is performed during vehicle travel, then maintenance period dependency is reduced, but communication speed is insufficient compared to stationary conditions
Solution Approach 1:
The system acquires communication speed maps and predicts communication speeds in advance for various routes and time periods. This preliminary information allows the system to identify optimal download windows during travel when communication speeds are sufficient, enabling flexible scheduling without sacrificing download speed.
Solution Approach 2:
The system changes parameters by selecting different routes and time periods for downloads based on predicted communication speeds. By optimizing the combination of route, time, and data size, the system achieves sufficient communication speeds during travel, transforming the previously inadequate mobile communication environment into a viable download condition.
3Reliability
If communication speed maps are acquired and download plans are created, then download stability during travel is improved, but system complexity increases
Solution Approach 1:
The control unit performs multiple functions using a unified approach: it acquires communication speed maps, predicts communication speeds for various routes and time periods, determines optimal download plans, and executes downloads. This multi-functional integration within a single control unit manages complexity while achieving reliable downloads during travel.
Solution Approach 2:
The system serves itself by automatically acquiring communication speed maps, predicting optimal download conditions, and creating download plans without requiring external intervention. This self-service capability manages the increased processing complexity through automation, reducing the need for complex external coordination while maintaining high download reliability.
Data Source
AI summary
An information processing device includes a control unit that executes: acquiring a first route based on a communication speed; and creating a first plan for a first vehicle, the first plan being a plan about execution of download of first data during traveling along the first route. The control unit acquires the first route between two predetermined spots, based on a first map indicating a distribution of a communication speed of a first communication carrier that is employed in the first vehicle. The control unit acquires a route for which it is predicted that a time spent on the download of the first data is shortest.