Autonomous Vehicle Assignment by Deviation Risk and Rider Driving Skill
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The existing autonomous driving assistance systems reduce operational efficiency by unnecessarily stopping autonomous vehicles when disapproval of autonomous driving is determined, leading to unintentional stagnation.
Innovation Solution
An information processing method that assesses the driving skill of the vehicle's occupant and the specifications of available autonomous vehicles to assign vehicles with matching deviation risks, thereby preventing operational inefficiencies by selecting appropriate vehicles for transportation based on the occupant's skills and tolerance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system displays only a notification of disapproval when autonomous driving is not approved, then the system ensures safety by preventing unauthorized autonomous driving, but the operational efficiency of the autonomous vehicle is reduced due to unnecessary stops
Solution Approach 1:
The system changes the notification parameter from a simple disapproval message to a structured notification that includes alternative transportation options, manual driving instructions, and estimated arrival times. This transforms the notification from a stop-command into a guidance-message that maintains operational continuity while ensuring safety through informed decision-making
Solution Approach 2:
The notification system acts as an intermediary between the autonomous driving approval system and the vehicle operation. Instead of directly stopping the vehicle when autonomous driving is disapproved, the notification provides intermediate information that enables the user to make an informed decision about whether to switch to manual driving or wait for alternative options, thereby maintaining operational efficiency while preserving safety
2Reliability
If the system always stops the autonomous vehicle when autonomous driving is disapproved, then the system maintains strict control over autonomous driving operations, but this results in unintentional stagnation and reduced operational efficiency
Solution Approach 1:
The system performs preliminary actions by providing the user with alternative transportation options and manual driving instructions before the vehicle actually stops. This allows the user to prepare for the transition in advance, reducing the actual stopping time and minimizing operational disruption while maintaining control over autonomous driving operations
Solution Approach 2:
The notification system ensures continuity of useful action by providing information that enables the vehicle to continue operating in a manual or alternative mode. Instead of complete stagnation, the vehicle can continue its mission using different operational modes, thereby reducing time loss while maintaining strict control over autonomous driving boundaries
Data Source
AI summary
An information processing method to be executed by a computer includes: obtaining a driving skill of a person who rides an autonomous vehicle, which represents at least one of whether the person can drive a manually-drivable autonomous vehicle or a level at which the person can drive; obtaining specifications of autonomous vehicles about autonomous driving; obtaining a route for transporting the person; determining deviation risks, each of which includes at least one of a possibility of deviation of an autonomous driving system including a corresponding one of the autonomous vehicles from an operational design domain or a degree of the deviation, based on the specifications and the route; selecting an autonomous vehicle assigned to transportation of the person from the autonomous vehicles according to each of the deviation risks and the driving skill; and sending a notification of the selected autonomous vehicle.