Autonomous Vehicle Pickup Scoring for Relocation Timing
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Solution Overview
Problem
Autonomous vehicles face challenges in optimizing user pickup timing and location based on user data, leading to inefficiencies and potential delays in relocating to the correct parking position.
Innovation Solution
A system and method that collects user data to assign a pickup score, determining when to relocate the vehicle from a first parking location to a second parking location based on user needs and preferences, using sensors and a controller to guide the vehicle to the optimal pickup location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If the autonomous vehicle waits at the first parking location for the user, then the user pickup timing can be optimized, but the vehicle remains stationary longer and cannot serve other purposes or relocate to optimal positions
Solution Approach 1:
The system performs preliminary actions by analyzing user data (calendar events, travel plans, purchase history) to predict when the user will be ready for pickup, and proactively relocating the vehicle to optimal pickup locations before the user arrives, rather than waiting stationary at the first parking location
Solution Approach 2:
The autonomous vehicle independently analyzes user data and determines optimal pickup timing and locations without human intervention, making autonomous decisions about when and where to relocate based on predicted user availability
2Ease of operation
If the autonomous vehicle relocates to the pickup location, then the user can be picked up at the optimal position, but the vehicle consumes energy and time during relocation
Solution Approach 1:
The system uses partial action by selectively relocating the vehicle only when the predicted pickup score exceeds a threshold, rather than always relocating to optimal positions, thus balancing pickup quality with energy consumption
Solution Approach 2:
The system changes the parameter of pickup score threshold to dynamically determine whether relocation is warranted, adjusting the balance between pickup optimization and energy expenditure based on varying conditions
3Speed
If the autonomous vehicle uses basic GPS navigation, then the vehicle can navigate to locations, but it cannot optimize pickup timing or determine optimal parking positions based on user behavior
Solution Approach 1:
The system implements feedback by continuously monitoring user data (calendar events, travel plans, purchase history, location data) and using this information to adaptively adjust pickup timing predictions and optimal location selection, creating a closed-loop system that learns from user behavior
Solution Approach 2:
The system performs preliminary analysis of user data patterns to predict future user availability and preferences, enabling the vehicle to proactively plan optimal pickup strategies before the actual pickup event occurs
Data Source
AI summary
A method of operating an autonomous vehicle. The method includes collecting user data regarding a user of the autonomous vehicle and analyzing the user data to assign a pickup score to the user for determining when to relocate the autonomous vehicle from a first parking location. The autonomous vehicle is directed to relocate from the first parking location when the pickup score exceeds a predetermined threshold. A second parking location and a parking position are determined for the autonomous vehicle at a pickup location based on the user data when relocating the autonomous vehicle to pick up the user.