Autonomous Vehicle Dispatch Selection Using Driving Function Metrics
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Solution Overview
Problem
Current vehicle dispatch systems do not allow users to select autonomous driving vehicles, as they lack the capability to determine if a vehicle has autonomous driving functions.
Innovation Solution
A vehicle dispatch system that includes a server and user device capable of communicating to store and display information about autonomous driving functions of registered vehicles, enabling users to select vehicles based on these features, with options including version information, override rate, continuity of autonomous driving, and authentication processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system displays detailed information about autonomous driving functions for each candidate vehicle, then users can make informed selections about autonomous driving vehicles, but the device complexity and information processing requirements increase
Solution Approach 1:
The system segments information about autonomous driving functions into distinct categories (version information, override rate, continuity, maximum continuation time/distance, average continuation time/distance, cumulative continuation time/distance) and presents them separately for each candidate vehicle. This segmentation allows users to comprehensively evaluate vehicles without overwhelming the system with undifferentiated data processing requirements.
Solution Approach 2:
The server pre-calculates and stores multiple metrics about autonomous driving functions (override rate, continuity, maximum/average/cumulative continuation time and distance) before user selection. This preliminary processing of autonomous driving data enables fast retrieval and display during user interaction, reducing real-time computational complexity.
2Reliability
If the system provides comprehensive autonomous driving function information including multiple metrics, then users can better evaluate vehicle reliability, but the loss of information management burden increases
Solution Approach 1:
The server performs multiple functions: it stores autonomous driving function information, calculates various metrics (override rate, continuity, maximum/average/cumulative values), transmits this information to user devices, and manages candidate vehicle lists. This multi-functionality consolidates information management tasks into a single system component, reducing the overall information management burden despite the comprehensive data provided.
3Reliability
If the system transmits detailed autonomous driving function information to user devices, then users can make reliable vehicle selections, but the communication data transmission volume increases
Solution Approach 1:
The system extracts only the essential autonomous driving function metrics (version information, override rate, continuity, and continuation time/distance values) that users need for decision-making, rather than transmitting complete vehicle datasets. This extraction provides sufficient information for reliable selection while minimizing data transmission volume.
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.