Parking Resource Analysis System with Stepwise Simulator
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Solution Overview
Problem
The increasing population has led to challenges in efficiently managing scarce parking resources, such as limited spaces on corporate campuses, resulting in significant time, energy, and fuel expenditures for individuals seeking parking.
Innovation Solution
A parking resource analysis system comprising a stepwise simulator system and role-based model access system that uses sensors, communication interfaces, and enterprise data layers to dynamically guide drivers to available parking spaces based on their roles and preferences, optimizing traffic flow and reducing resource expenditure through real-time updates and predictive analytics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional parking management systems are used, then system complexity is low, but time and energy expenditure for finding parking spaces is high
Solution Approach 1:
The patent segments the parking management system into multiple independent components: sensors for detecting space availability, communication interfaces for data transmission, a datamodel layer for data processing, and user interface components. This segmentation allows each component to be optimized independently while reducing overall system complexity through modular architecture.
Solution Approach 2:
The system performs preliminary actions by pre-processing parking space data through the datamodel layer before it reaches users. The datamodel tuning and evaluation occur in advance, organizing parking availability information so that users receive ready-to-use guidance without requiring complex real-time processing, thereby reducing both time and perceived system complexity.
2Productivity
If comprehensive parking data is collected and processed, then parking efficiency is improved, but energy consumption increases
Solution Approach 1:
The patent applies partial action by selectively processing and transmitting only the most relevant parking data rather than comprehensive real-time data from all sensors. The datamodel layer filters and prioritizes information based on user roles and current parking conditions, achieving high parking efficiency while minimizing the energy required for data collection, processing, and transmission.
3Ease of operation
If real-time parking updates are provided, then user satisfaction is improved, but system resource requirements increase
Solution Approach 1:
The system implements feedback mechanisms where the datamodel layer continuously evaluates parking conditions and adjusts data transmission based on current system state and user needs. This feedback loop ensures that real-time updates are provided only when necessary, maintaining high user satisfaction while optimizing resource utilization by avoiding redundant data transmission and processing.
Data Source
AI summary
Increases in global population have led to unprecedented challenges in meeting every day needs. Vehicle parking is one such challenge given the limited parking spaces available at any destination, whether at work, at a shopping center, or any other location. A parking resource analysis system includes a stepwise simulator system and a role based access system. The stepwise simulator system tests, simulates, and tunes specific models for issuing parking control actions with respect to a specific lot. The role based access system may be physically located at the parking lot. The role based access system implements dynamic loading or dynamic access of role specific models for issuing parking control actions tailored to the role of the particular individual searching for a parking space.