Automated Parking Service Dynamic Space Allocation
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Solution Overview
Problem
Automated valet parking systems face inefficiencies due to uneven demand, leading to uneconomical operations when there are not enough vehicles, and unattractiveness when there are too few spaces, as they struggle to dynamically adjust their capacity to match varying usage patterns.
Innovation Solution
The system dynamically adjusts the available parking area by temporarily renting adjacent spaces, using historical data to predict demand and adjust usage authorizations, allowing for efficient allocation and minimizing costs by moving vehicles from secondary areas to primary areas when space is available, and utilizing traffic control to direct vehicles to secondary areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the automated parking service operates with a fixed number of parking spaces, then the service area is stable, but the service cannot adapt to varying demand leading to uneconomical operations during low demand and unattractiveness during high demand
Solution Approach 1:
The patent implements dynamic parking space management by enabling the automated parking service to temporarily acquire additional parking spaces from the second area when demand is high, and release them when demand is low. This transforms the fixed parking capacity into a dynamic, demand-responsive system that adapts its service area in real-time without requiring permanent infrastructure changes
Solution Approach 2:
The parking spaces in the second area serve dual purposes: they function as dedicated parking spaces for long-term tenants during their authorized periods, and simultaneously serve as expandable parking capacity for the automated parking service when needed. This multi-functionality allows the same physical spaces to support both long-term lease agreements and dynamic demand fluctuations
2Quantity of substance
If the automated parking service rents additional parking spaces to increase capacity, then more vehicles can be accommodated during peak demand, but additional costs are incurred for space rental
Solution Approach 1:
The system implements periodic acquisition and release of parking spaces based on predicted demand patterns. Usage authorizations for second areas are requested in advance during low-demand periods and returned when no longer needed, creating a rhythmic pattern of space acquisition that aligns with historical demand cycles rather than maintaining permanent additional capacity
Solution Approach 2:
The system dynamically changes the parameter of parking space capacity by adjusting the number of active usage authorizations for second areas based on predicted demand. Rather than physically expanding or contracting the parking infrastructure, the system modifies the operational parameter of available spaces through software-controlled authorization management
3Reliability
If the system requests usage authorizations in advance based on historical data, then parking spaces are available when needed, but the system must accurately predict demand to avoid unnecessary costs
Solution Approach 1:
The system performs preliminary actions by requesting usage authorizations for second areas in advance based on historical demand data and predictions. This allows the automated parking service to secure additional parking capacity before peak demand periods occur, ensuring space availability while still maintaining the option to release authorizations if predictions prove inaccurate
Data Source
Figure 1
Figure 2~3
AI summary
The invention relates to a parking area comprising a first region and a second region, which are each designed for the parking of a motor vehicle, wherein a usage authorization for the second region is time-limited. A method for parking a motor vehicle in the parking area comprises steps of determining that there is space in the first region for parking a motor vehicle parked in the second region in the first region; and transferring the motor vehicle from the second region to the first region in an automated manner.