Dynamic Parking Rate Control System for Demand-Driven Revenue Optimization
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Solution Overview
Problem
Conventional parking facilities face challenges in efficiently managing parking rates, failing to respond dynamically to demand and maximize revenue, and they do not effectively utilize modern vehicle capabilities such as autonomous features to enhance the customer experience.
Innovation Solution
A parking facility control system that uses historical data and optimization models to dynamically adjust parking rates based on demand and vehicle attributes, allowing for real-time pricing adjustments and utilizing autonomous vehicle capabilities for efficient parking and communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a pre-determined static pricing scheme is used, then the parking facility operation is simple, but the pricing fails to respond dynamically to demand and maximize revenue
Solution Approach 1:
The patent implements dynamic pricing by continuously adjusting parking rates based on real-time demand signals, time of day, day of week, and historical data patterns. The system transitions from static predetermined rates to a dynamic pricing model that automatically responds to changing conditions to maximize revenue while maintaining operational simplicity through automated decision-making.
Solution Approach 2:
The system incorporates feedback mechanisms by analyzing historical parking data, occupancy patterns, and demand trends to continuously refine and adjust pricing strategies. This feedback loop enables the pricing scheme to learn from past performance and adapt to changing customer behavior patterns, thereby optimizing revenue generation without requiring complex manual intervention.
2Ease of operation
If conventional static pricing is used, then the system is easy to operate, but it fails to maximize profit for the parking facility
Solution Approach 1:
The pricing system performs self-service by automatically determining optimal rates based on built-in algorithms that process historical data and demand patterns. The system self-adjusts pricing without requiring manual intervention from facility operators, maintaining ease of operation while achieving profit maximization through automated, data-driven decision-making.
Solution Approach 2:
The system changes pricing parameters dynamically based on multiple factors including time of day, day of week, historical occupancy patterns, and demand elasticity. By automatically adjusting these parameters according to established rules and historical data, the system achieves profit maximization while keeping the operation simple for users who simply need to park.
3Device complexity
If conventional parking facilities do not communicate prices effectively, then the system remains simple, but it fails to attract customers using modern vehicle capabilities
Solution Approach 1:
The system uses mobile devices and vehicle communication systems as intermediaries to transmit pricing information and parking instructions to customers. This intermediary approach enables effective communication with modern vehicles and mobile devices without requiring complex dedicated communication infrastructure, thereby attracting tech-savvy customers while maintaining reasonable system complexity.
Solution Approach 2:
The patent replaces traditional mechanical or analog pricing communication methods with electronic and digital communication systems. By using mobile devices, wireless communication, and integrated vehicle systems, the facility can effectively communicate pricing information to customers using modern vehicles, thereby enhancing customer attraction without requiring complex physical signage or manual communication processes.
Data Source
AI summary
System, methods, and other embodiments described herein relate to controlling a parking facility. In one embodiment, a method of controlling a parking facility control system is disclosed. The method includes selecting a pricing model, from a set of models based, at least partially, on historical data that indicates past parking rates and past usage levels of the parking facility. The method includes determining, periodically, a dynamic parking rate according to the pricing model. The method includes, in response to receiving a parking request for a vehicle, determining a current parking rate for the vehicle according to at least the dynamic parking rate and attributes of the parking request that indicate at least a parking duration that the vehicle is estimated to be parked at the parking facility. The method includes transmitting a parking notification to the vehicle, the parking notification indicating a parking space and the current parking rate.


