Autonomous Vehicle Configuration via User Profile Retrieval
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Solution Overview
Problem
Current systems for configuring autonomous vehicles (AVs) for users are inefficient, as they require manual adjustments by drivers and passengers for each use, leading to discomfort and inefficiency, especially in shared or rental vehicles, where settings are not tailored to individual preferences.
Innovation Solution
A transport facilitation system that allows users to set preference profiles through a mobile app, which configures AVs automatically based on user inputs, including seat adjustments, temperature, and other settings, using accelerometer data to optimize comfort and machine learning to adapt preferences over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual adjustments are made for each use in shared vehicles, then individual preferences can be accommodated, but time is lost and efficiency decreases
Solution Approach 1:
The system performs preliminary configuration actions by pre-loading user preference profiles into the vehicle's control system before the user arrives. When a user boards the vehicle, their preferences are automatically applied to seat position, temperature, lighting, and other adjustable components, eliminating the need for manual adjustments at the time of use.
Solution Approach 2:
The vehicle configuration system serves itself by automatically detecting which user profile to apply and executing the configuration without human intervention. The system monitors user entry, retrieves stored preferences, and autonomously adjusts all vehicle parameters, making the vehicle self-configure based on detected user identity and preferences.
2Ease of operation
If vehicle components are configured for each user, then comfort is improved, but device complexity increases
Solution Approach 1:
The vehicle is equipped with universal adjustable components that can serve multiple users with different preferences. A single seat, for example, can be adjusted to accommodate various user preferences through motorized controls, climate zones, and memory functions, allowing one component to fulfill multiple configuration requirements without requiring separate physical components for each user.
Solution Approach 2:
Manual mechanical adjustment mechanisms are replaced with automated electronic control systems. Motors, sensors, and microcontrollers substitute for manual levers and switches, enabling automatic configuration based on stored user profiles. This substitution reduces the operational complexity users experience while managing the underlying system complexity through software automation.
3Adaptability or versatility
If multiple user profiles are stored and applied, then adaptability is improved, but information management complexity increases
Solution Approach 1:
The system incorporates feedback mechanisms where user adjustments during actual use are monitored and used to refine and update stored preference profiles. When a user manually modifies a configuration parameter, the system learns from this behavior and automatically updates the profile, ensuring the stored information remains accurate and relevant without requiring explicit user re-input.
Solution Approach 2:
The system creates and manages digital copies of user preferences in the form of configurable profiles stored in memory. Each profile is a data copy containing all necessary configuration parameters for a specific user. These digital copies can be rapidly retrieved and applied without physically transferring any actual configuration data between users, enabling efficient information management through standardized data structures.
Data Source
AI summary
A transport facilitation system can receive a pick-up request from a computing device of a user of a transportation arrangement service, the pick-up request comprising a unique identifier and a pick-up location. Using the unique identifier, the system can perform a lookup in a database for a profile indicating vehicle setup preferences for the user, and select a service vehicle to service the pick-up request. The system can further determine a seat assignment within the service vehicle for the user, and based on the vehicle setup preferences indicated in the profile, the system transmit a set of configuration instructions to the service vehicle, the set of configuration instructions to configure one or more adjustable components of the service vehicle for the user.