Priority Parking Allocation With Alternative Spaces for Event Transport
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Solution Overview
Problem
Current parking systems for vehicles, especially in congested areas, face challenges in efficiently identifying and allocating optimal parking spaces near event locations, particularly when the number of vehicles exceeds available parking spaces, leading to inefficiencies and increased congestion.
Innovation Solution
A system utilizing a blockchain-based decentralized database and smart contracts to monitor vehicle routes, prioritize parking assignments based on user profiles, and dynamically reassign parking spaces during events, allowing vehicles to move from initial to closer or alternative spaces as needed, optimizing parking utilization and reducing congestion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the number of vehicles exceeds available parking spaces at destination locations, then parking demand increases, but parking availability decreases
Solution Approach 1:
The system divides the parking management into multiple zones (primary destination locations and alternative parking areas) and segments the vehicle fleet into different priority groups. This allows efficient allocation of limited spaces by handling high-priority vehicles at destination locations while directing lower-priority vehicles to alternative areas, thereby accommodating more vehicles overall.
Solution Approach 2:
The system expands the parking solution from a single-dimensional (destination-only) approach to a multi-dimensional approach by introducing alternative parking areas at different distances from destinations. Vehicles are assigned to different dimensions (primary or alternative parking) based on priority, event timing, and availability, effectively increasing the total parking capacity beyond what single-location parking could provide.
2Adaptability or versatility
If vehicles are assigned to alternative parking spaces farther from event locations, then parking availability increases, but travel time to event increases
Solution Approach 1:
The system performs preliminary actions by assigning vehicles to alternative parking spaces in advance of the event, allowing passengers to attend the event while vehicles wait parked. The system monitors event duration and parking availability, then proactively relocates vehicles to closer spaces when spaces become available, rather than waiting for passengers to request pickup.
Solution Approach 2:
The system implements continuous feedback loops by monitoring event timing, vehicle occupancy status, and parking space availability. This feedback enables dynamic reassignment of vehicles from alternative to primary parking areas based on real-time conditions, optimizing the balance between parking availability and travel time throughout the event duration.
3Device complexity
If manual parking identification and allocation is used, then system complexity is low, but parking efficiency decreases
Solution Approach 1:
The system enables self-service by allowing vehicles to autonomously identify and navigate to available parking spaces based on their priority level and the system's real-time data. The automated monitoring and assignment system eliminates the need for manual intervention in parking allocation, significantly improving efficiency while the modular architecture keeps system complexity manageable.
4Ease of operation
If vehicles wait at destination locations for passengers, then pickup convenience increases, but congestion increases
Solution Approach 1:
The system extracts the waiting function from the destination location by directing vehicles to alternative parking areas away from event venues. This separates the passenger attendance function from the vehicle waiting function, allowing passengers to attend events without creating congestion at destination locations, while vehicles remain readily available for pickup when needed.
Data Source
AI summary
An example operation may include one or more of identifying various transports with an assigned destination location, determining the transports assigned to the destination location exceeds a number of available parking spaces at the destination location, identifying alternative parking spaces in an area adjacent to the destination location, and assigning at least one of the alternative parking spaces to at least one of the transports based on a priority of the at least one transport.