Autonomous Parking Reassignment Based on Event Duration
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Solution Overview
Problem
Existing parking systems for autonomous transports face challenges in efficiently coordinating parking procedures, especially when there are more vehicles than available parking spaces, and in optimizing parking locations based on event duration and occupant preferences.
Innovation Solution
A method and system that utilize a server to determine the average event duration, move autonomous transports to closer available parking spaces during events, and assign alternative parking spaces based on priority when the primary destination is oversubscribed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If autonomous transports are assigned to destination locations, then the transports can serve their intended purpose, but the number of transports may exceed available parking spaces causing congestion
Solution Approach 1:
The parking space assignment system dynamically adjusts transport assignments based on real-time availability. When parking spaces are full, the system automatically reassigns transports to alternative locations, ensuring optimal utilization without permanent congestion. This dynamic reassignment resolves the contradiction between maintaining transport service efficiency and preventing overcrowding.
Solution Approach 2:
The system performs preliminary checks of parking space availability before assigning transports to destination locations. By predicting future space availability and pre-planning alternative assignments, the system prevents congestion before it occurs while ensuring transports are ready to serve their intended purposes when spaces become available.
2Ease of operation
If transports are parked closer to event locations, then passenger convenience is improved, but available parking spaces are reduced
Solution Approach 1:
The system implements differentiated parking strategies based on location quality. Premium parking spaces closest to event locations are reserved for high-priority transports or those with special needs, while standard transports are assigned to alternative locations. This local quality differentiation ensures that limited premium spaces are used most effectively while maintaining overall system efficiency.
Solution Approach 2:
The system expands the parking solution into multiple dimensions by creating a hierarchy of parking locations (primary, secondary, tertiary) rather than treating all spaces equally. Transports can be reassigned across these dimensional layers, allowing the system to optimize for passenger convenience at premium locations while utilizing alternative dimensions (secondary parking areas) to accommodate the broader fleet.
3Device complexity
If transports remain parked during events, then parking operations are simplified, but time is lost when events end and spaces need to be cleared
Solution Approach 1:
The system implements continuous feedback monitoring of event status and parking space utilization. When events are detected to be ending, the system automatically initiates transport reassignment to alternative locations, freeing up premium spaces. This feedback-driven approach maintains simple operations during events while proactively managing space clearance before time becomes critical.
Solution Approach 2:
The system performs periodic assessments of event duration and parking space needs, adjusting transport assignments at appropriate intervals. Rather than making continuous changes or waiting until the last moment, the system periodically reviews the situation and executes reassignments at optimal times, balancing operational simplicity with timely space clearance.
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.