Vehicle Monitoring Priority Assignment for Remote Driverless Operation
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Solution Overview
Problem
Conventional remote operation systems for driverless vehicles burden monitors with heavy loads, as they need to constantly monitor all vehicles for potential dangerous situations without effective prioritization, leading to increased workload and reduced efficiency.
Innovation Solution
An information processing method and system that determine a monitoring priority level for each vehicle based on its running state and external state, generating presentation information to aid the monitor in focusing on high-priority vehicles, thereby reducing the overall monitoring load by prioritizing and optimizing the presentation of vehicle information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the monitor constantly monitors all vehicles to ensure safety, then the reliability of the monitoring system is improved, but the monitoring load on the monitor increases
Solution Approach 1:
The patent segments the monitoring task by dividing vehicles into different priority levels (first priority and second priority) based on their running states. The monitor only needs to actively monitor high-priority vehicles that meet specific criteria (abnormal acceleration, abnormal speed, or stoppage), while low-priority vehicles are monitored passively through automatic detection. This segmentation reduces the monitor's workload while maintaining system reliability through automated priority assignment.
Solution Approach 2:
The system implements self-service monitoring where the automated determination unit automatically identifies high-priority vehicles based on pre-set criteria without requiring continuous manual assessment by the monitor. The system serves itself by automatically generating priority determinations and notification information, reducing the need for human intervention in routine monitoring tasks while maintaining comprehensive safety coverage.
2Ease of operation
If the monitor focuses on high-priority vehicles only, then the monitoring load is reduced, but the risk of missing critical situations in low-priority vehicles increases
Solution Approach 1:
The system establishes a feedback loop where the automatic determination unit continuously monitors all vehicles and automatically updates priority levels based on changing running states. When a low-priority vehicle enters a high-risk state (abnormal acceleration, speed, or stoppage), the system automatically generates notification information and alerts the monitor, ensuring that critical situations are captured regardless of initial priority classification. This feedback mechanism maintains detection accuracy while reducing routine monitoring load.
Solution Approach 2:
The system performs preliminary action by pre-establishing priority criteria and automatic determination rules before monitoring begins. The automatic determination unit is pre-configured with the criteria for identifying high-priority vehicles (abnormal acceleration, abnormal speed, stoppage), allowing it to proactively identify and flag at-risk vehicles before critical incidents occur. This preliminary setup enables the system to anticipate and prepare for potential safety issues without requiring continuous manual assessment of all vehicles.
Data Source
AI summary
An information processing method performed using a computer includes: obtaining first vehicle information from a vehicle that is a monitoring target of a monitor, the first vehicle information indicating at least one of a running state and an external state of the vehicle; determining a monitoring priority level of the vehicle according to a degree of request for monitoring the vehicle by the monitor, the degree being based on the first vehicle information; generating presentation information for monitoring the vehicle, based on the monitoring priority level; and causing a presentation device to output the presentation information.


