Vehicle Software Update Staging for Risk-Based Fleet Rollout
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Solution Overview
Problem
Existing software update technologies fail to ensure safety and efficiency in updating software for vehicles, particularly in high-use scenarios like car sharing, leading to potential defects and safety risks due to inappropriate updates.
Innovation Solution
An information processing system that updates software quickly and safely by first distributing updates to vehicles with lower risk and confirming their operation status before expanding to others, using a server to manage and relearn software to ensure safety and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If software updates are performed quickly without sufficient development time, then update speed improves, but safety and reliability deteriorate due to potential defects
Solution Approach 1:
The patent divides the vehicle fleet into multiple groups based on risk levels, with each group receiving updates at different paces. High-risk vehicles form a separate group from low-risk vehicles, allowing differentiated update strategies that balance speed and safety for each segment.
Solution Approach 2:
The patent implements preliminary monitoring of vehicle operation statuses before and during updates. By collecting and analyzing operation data in advance and during the update process, the system can predict potential issues and intervene before safety problems occur, enabling faster updates with maintained reliability.
2Reliability
If updates are delayed to ensure safety through sufficient development, then software reliability improves, but update speed deteriorates
Solution Approach 1:
The patent establishes a feedback mechanism that continuously monitors vehicle operation statuses after updates are deployed. This real-time feedback allows the system to detect defects early and respond quickly, enabling faster update cycles while maintaining safety through continuous verification rather than prolonged pre-update testing.
Solution Approach 2:
The patent implements dynamic update strategies where the update pace and scope are adjusted based on real-time risk assessments and operation status monitoring. The system can accelerate updates for low-risk vehicles while maintaining cautious pacing for high-risk vehicles, optimizing overall update speed without compromising safety.
3Productivity
If updates are performed during high-use periods, then service continuity is maintained, but safety deteriorates due to lack of monitoring time
Solution Approach 1:
The patent collects and analyzes operation status data before updates are performed, establishing a baseline for comparison. This preliminary data collection enables the system to detect anomalies during high-use periods and respond appropriately, maintaining both service continuity and update safety through informed real-time monitoring.
4Productivity
If the frequency of stop states is low in high-use vehicles, then service continuity improves, but update opportunity deteriorates
Solution Approach 1:
The patent implements continuous background monitoring and update mechanisms that operate during vehicle operation rather than requiring complete stoppages. By performing monitoring and updates in the background during high-use periods, the system maintains service continuity while still capturing necessary data and applying updates without significant time loss.
Data Source
AI summary
The present disclosure relates to an information processing apparatus, an information processing method, an information processing system, and a program that enable update of an SW to be quickly and safely implemented. The software program (SW) is updated from the vehicle group in which the safety is confirmed, the operation state of the SW after the update is confirmed, and if there is no abnormality, the SW of the vehicle groups other than the vehicle group in which the safety is confirmed is also updated. The present disclosure can be applied to an automated driving technology.