Vehicle Operation Selection Device Using Weighted Remote Control Scoring
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Solution Overview
Problem
Existing vehicle remote-control systems often select a remote-control operator based on past operations, leading to unsuitable remote-control driving situations, resulting in potential emergency stops or repeated operations, and require a large number of operators for remote-control driving.
Innovation Solution
An operation selection device that communicates with self-driving vehicles and remote-control operating devices, acquires and weighs remote-control operation information, and allocates scores to operators, enabling the selection of the most suitable operation for the situation, reducing emergency stops and allowing a small number of operators to manage multiple vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a remote-control operator is selected based on past remote-control operations, then the selection process is simple, but the selected operation may be unsuitable for the current situation, leading to emergency stops or repeated operations
Solution Approach 1:
The system implements feedback by evaluating the suitability of each remote-control operation against current vehicle conditions and event types. The evaluation result feeds into the selection process, ensuring that previously successful operations are not automatically chosen if they are unsuitable for the current situation. This closed-loop feedback mechanism resolves the contradiction by making the selection both reliable and situation-appropriate.
Solution Approach 2:
The system changes the selection criterion from simple past operation frequency to a multi-parameter evaluation that includes event type, vehicle state, and operation suitability. By dynamically adjusting which parameters are considered based on the current situation, the system achieves both ease of operation through automated selection and reliability through situation-appropriate choices.
2Adaptability or versatility
If multiple remote-control operators are available for each vehicle, then more operational options exist, but the system complexity increases
Solution Approach 1:
The system applies self-service by enabling each remote-control operation to automatically evaluate its own suitability against the current vehicle conditions. Each operation essentially assesses itself, and the most suitable one is selected without requiring complex external coordination. This reduces system complexity while maintaining multiple operational options.
Solution Approach 2:
The system segments the evaluation process into independent assessments of each remote-control operation's suitability for the current event type. By dividing the selection process into separate, independent evaluations rather than a monolithic complex system, multiple operators can be accommodated without proportionally increasing overall system complexity.
3Reliability
If a large number of remote-control drivers are used, then adequate coverage for all vehicles is achieved, but operational efficiency decreases
Solution Approach 1:
The system changes the allocation parameter from equal distribution of vehicles to operators to dynamic allocation based on operator skill scores and situation appropriateness. High-skilled operators receive more vehicles and more challenging events, while maintaining adequate coverage. This parameter change achieves both reliable coverage and improved operational efficiency.
Solution Approach 2:
The system applies local quality by assigning different numbers of vehicles to different operators based on their individual skill levels and performance characteristics. Rather than uniform allocation, each operator receives a customized workload that matches their capabilities, achieving efficient use of resources while maintaining adequate overall coverage.
Data Source
AI summary
An operation selection device includes a memory and a processor. The processor is configured to perform communication between a self-driving device provided at a vehicle which performs self-driving, and a plurality of operating devices that enable the vehicle to be driven remotely via a remote-control operation performed by a remote-control driver, and that are individually provided for each of a plurality of remote-control drivers, and to acquire information relating to remote-control operations performed by each remote-control driver using each of the plurality of operating devices for a receiving remote-control operation in the vehicle currently being driven remotely, using a predetermined weighting, one remote-control operation among many acquired remote-control operations, and to output information related to remote-control operation that has been decided on to the vehicle, and to allocate a score, which is reflected in the weighting, to the remote-control driver who performed the remote-control operation that has been decided.