Autonomous Vehicle Dispatch Selection Using Capability and Reliability Data
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Solution Overview
Problem
Existing vehicle dispatch systems do not allow users to select autonomous driving vehicles effectively, as they lack the ability to determine whether a vehicle is capable of autonomous driving.
Innovation Solution
A vehicle dispatch system and method that includes a server and user device capable of communicating to store, display, and select autonomous driving vehicles based on their functions, positions, and user preferences, using information such as autonomous driving capabilities and reliability indices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the system provides basic vehicle dispatch functionality, then users can request and receive vehicles, but users cannot determine whether candidate vehicles are autonomous driving vehicles
Solution Approach 1:
The system pre-obtains and stores autonomous driving capability information for all candidate vehicles before the user makes a selection. This preliminary action ensures that when users view vehicle options, the autonomous driving capability information is already available, eliminating the information gap without requiring complex real-time queries or additional user actions.
Solution Approach 2:
The server acts as an intermediary that collects, processes, and transmits autonomous driving capability information from vehicles to users. This intermediary role centralizes the information management, allowing the mobile device to display comprehensive vehicle information without needing to implement complex detection or verification mechanisms itself.
2Ease of operation
If the system displays detailed autonomous driving function information for each candidate vehicle, then users can make informed selections, but the information presentation becomes more complex
Solution Approach 1:
The autonomous driving function information is segmented into distinct parameters including autonomous driving capability status, override rate, continuity of autonomous driving, maximum continuation time, and maximum continuation distance. This segmentation allows the system to present comprehensive information in an organized, structured manner that is easier for users to process and compare across different vehicles.
Solution Approach 2:
The system transforms complex autonomous driving capabilities into standardized, comparable parameters such as override rate (numerical value), continuity (time/distance metrics), and maximum continuation limits. These parameter transformations enable users to easily compare different vehicles' autonomous driving performance using consistent metrics rather than qualitative descriptions.
Data Source
AI summary
A server includes a unit obtaining a position of a registered vehicle, a unit obtaining a vehicle dispatch position, a unit determining a candidate vehicle based on the vehicle dispatch position and the position of the registered vehicle, a unit transmitting information regarding an autonomous driving function of the candidate vehicle to a user device, a unit receiving information for identifying a dispatch vehicle, and a unit transmitting a vehicle dispatch position to the dispatch vehicle. The user device includes a unit receiving the information regarding the autonomous driving function of the candidate vehicle, a unit displaying the information regarding the autonomous driving function of the candidate vehicle, an unit accepting a user operation for selecting the dispatch vehicle, and a unit transmitting the information for identifying the dispatch vehicle to the server.