Driverless Car Park Parking for Peak Occupancy Reassignment
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Solution Overview
Problem
Existing car park systems face challenges in maximizing parking capacity utilization, especially during peak times, due to inefficient vehicle management and lack of real-time occupancy data analysis.
Innovation Solution
A car park parking system that uses an electronic computing device to determine the current occupancy state and dynamically assign quick-access or long-stay parking spaces to vehicles, communicating optimal pick-up times to users and incentivizing them to leave their vehicles for extended periods, thereby optimizing space utilization and offering bonuses for cooperation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If vehicles are assigned to quick-access parking spaces to enable fast pick-up, then user convenience and pick-up speed are improved, but parking capacity utilization deteriorates during peak times
Solution Approach 1:
The system dynamically reassigns vehicles between quick-access and long-stay parking spaces based on real-time occupancy data and predicted pick-up times. During peak times, vehicles are moved to long-stay spaces to maximize capacity, while during off-peak times they are positioned in quick-access spaces for fast retrieval, making the parking space allocation flexible and adaptive to changing conditions
Solution Approach 2:
The system proactively moves vehicles from quick-access to long-stay parking spaces before peak times occur, based on predicted occupancy patterns and user behavior. This preliminary repositioning ensures that quick-access spaces are available for new arrivals during peak demand while already-parked vehicles are stored in long-stay areas
2Device complexity
If the car park operates with fixed parking space assignments, then system complexity is reduced, but parking capacity utilization deteriorates during peak times
Solution Approach 1:
The parking system is segmented into distinct functional zones: quick-access parking spaces for fast pick-up and long-stay parking spaces for capacity optimization. This segmentation allows independent management of each zone based on real-time needs, enabling complex optimization strategies without requiring complete reconfiguration of the entire system
Solution Approach 2:
The system continuously monitors occupancy data from sensors and uses this feedback to dynamically adjust vehicle assignments between quick-access and long-stay spaces. The feedback loop enables automatic adaptation to changing parking demand patterns, optimizing capacity utilization without manual intervention or complex centralized control
3Productivity
If vehicles are moved frequently between parking spaces to optimize capacity, then parking capacity utilization is improved, but loss of time increases due to additional vehicle movements
Solution Approach 1:
The system implements periodic reassignment cycles rather than continuous vehicle movements. Vehicles are repositioned between quick-access and long-stay spaces at scheduled intervals or when occupancy thresholds are reached, minimizing unnecessary movements while maintaining optimal capacity utilization. This periodic approach balances optimization benefits with time loss from vehicle transfers
Data Source
AI summary
A method for operating a car park parking system of a car park involves determining a current state of occupancy of the car park and assigning a quick-access parking space to a motor vehicle to be parked depending on the determined state of occupancy. The motor vehicle to be parked is brought driverlessly to the assigned quick-access parking space. An information message is communicated to a user of the motor vehicle to be parked depending on a decision criterion. The information message proposes a pick-up time, and, following acceptance of the proposed pick-up time by the user, the motor vehicle to be parked is brought driverlessly from the quick-access parking space to a long-stay parking space.