Autonomous Vehicle Parking Priority Assignment in Smart Garages
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Autonomous vehicles face challenges in efficiently selecting and navigating to a suitable parking space within parking infrastructures, such as lots or multi-level structures, without adequate systems for prioritizing and managing parking requests based on vehicle and user preferences.
Innovation Solution
A system and method for autonomous vehicles that includes receiving parking requests, determining parking priorities based on vehicle profiles and preferences, assigning parking spaces from a pool of available options, and navigating to those spaces while monitoring departure status to optimize space utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a simple first-come-first-served parking assignment system is used, then the system complexity is low, but the parking efficiency and user satisfaction deteriorate due to inability to prioritize vehicles based on preferences
Solution Approach 1:
The system performs preliminary actions by determining parking priorities and pre-assigning parking spaces before vehicles arrive at the parking infrastructure. The computing device calculates parking priority scores based on multiple criteria (membership level, vehicle type, preferences) and reserves appropriate spaces in advance, eliminating the need for complex real-time decision-making when vehicles arrive.
Solution Approach 2:
The parking space pool is segmented into different categories (preferred, standard, temporary) based on priority levels. The system divides the assignment process into discrete steps: authentication, priority determination, space selection from appropriate category, and assignment. This segmentation simplifies the overall complex process into manageable, automated stages.
2Adaptability or versatility
If parking spaces are assigned without considering vehicle profiles and preferences, then the assignment process is simple and fast, but user satisfaction and customization deteriorate
Solution Approach 1:
User profiles and parking preferences are established in advance through authentication and profile retrieval. The system pre-determines which parking space categories (preferred, standard, temporary) are appropriate for each vehicle based on their profiles, so that when assignment is needed, the computing device only needs to select from pre-filtered options rather than evaluating all spaces against all criteria.
Solution Approach 2:
The system uses automatically retrieved vehicle profiles and stored user preferences to make assignment decisions without requiring real-time user input. The computing device autonomously determines priority scores and selects appropriate spaces based on pre-stored information about vehicle types, membership levels, and user preferences, making the process both adaptive and efficient.
3Productivity
If the system monitors and manages parking space availability in real-time, then the parking space utilization efficiency improves, but the system complexity and computational requirements increase
Solution Approach 1:
The system continuously monitors the availability of parking spaces in different categories (preferred, standard, temporary) and uses this feedback to make dynamic assignment decisions. When a vehicle requests parking, the computing device checks current space availability and adjusts assignments accordingly, ensuring high utilization while maintaining simplicity through rule-based decision logic.
Solution Approach 2:
The system pre-categorizes parking spaces into availability status (available, occupied, reserved) before assignment occurs. This preliminary organization of space data allows the computing device to quickly determine appropriate assignments without complex real-time analysis, maintaining efficiency while reducing computational complexity.
Data Source
AI summary
A method of selecting a parking spot for an autonomous vehicle. The method includes receiving a parking request to park the autonomous vehicle at a parking infrastructure and determining a parking priority for the autonomous vehicle. A parking space is assigned for the autonomous vehicle from a pool of available parking spaces based on the parking priority determined for the autonomous vehicle. A departure status of the autonomous vehicle is monitored to determine if the autonomous vehicle is leaving the parking space. The parking space is associated with the pool of available parking spaces based on the departure status of the autonomous vehicle changing to leaving the parking space.