Autonomous Parking Allocation Using Event-Time Relocation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems struggle to efficiently manage parking for autonomous transports, particularly in congested areas, as they lack the ability to coordinate parking procedures based on passenger destinations, event durations, and user preferences.
Innovation Solution
A system that utilizes a decentralized database, such as a blockchain, to manage parking by determining optimal parking spaces based on event durations, user profiles, and available spaces, allowing autonomous transports to move between initial and final spaces as needed, and assigning priority parking through smart contracts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If autonomous transports park at initial spaces without coordination, then parking simplicity is maintained, but parking efficiency and space utilization deteriorate
Solution Approach 1:
A server acts as an intermediary between autonomous transports and parking spaces. The server receives location information from transports, determines optimal parking spaces based on destination and event duration, and coordinates movements. This mediator enables efficient parking coordination without requiring complex direct communication between all transports and all spaces.
Solution Approach 2:
The system determines optimal parking spaces in advance before transports arrive. By pre-calculating the best parking locations based on predicted event durations and destinations, the system eliminates on-site searching and coordination delays, improving overall parking efficiency.
2Ease of operation
If transports park closer to event locations, then passenger convenience is improved, but parking space availability deteriorates due to congestion
Solution Approach 1:
The parking assignment is dynamic rather than static. Transports may be assigned to initial parking spaces away from event locations, then dynamically relocated to closer spaces when event duration predictions indicate availability. This dynamic reassignment optimizes both space utilization and passenger convenience throughout the event.
Solution Approach 2:
The parking process is segmented into multiple phases: initial parking at less congested areas, monitoring of event duration and space availability, and subsequent relocation to optimal closer spaces. This segmentation allows transports to secure parking efficiently while still achieving convenient final positions.
3Productivity
If multiple transports are assigned to the same destination, then destination service quality is improved, but parking space sufficiency deteriorates
Solution Approach 1:
The system adds the time dimension to parking space allocation. Instead of only considering spatial availability, it factors in event duration predictions and temporal patterns of space availability. This allows multiple transports bound for the same destination to be accommodated by assigning them to different time windows and parking spaces, effectively expanding capacity beyond physical constraints.
4Productivity
If real-time parking monitoring is implemented, then parking optimization is improved, but information processing requirements increase
Solution Approach 1:
The system extracts only the essential information needed for parking optimization: transport location, destination, and predicted event duration. By filtering out unnecessary data and focusing on these key parameters, the system achieves effective real-time monitoring and optimization without being overwhelmed by excessive information processing requirements.
Data Source
AI summary
An example operation may include one or more of parking a transport in an initial space, determining an average time of an event attended by at least one occupant associated with the transport, moving the transport to at least one other space when an elapsed time of the event is less than the average time and when the at least one other space is available and closer to an event location than the initial space, and moving the transport to a final space when the event is completed, and the final space is a location of a device associated with the at least one occupant.


