Forecasting Physical Resource Access Times
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Solution Overview
Problem
There is a need for a real-time solution to forecast and report available access times of physical resources to manage excessive wait times and meet access limits, as different times are more popular for accessing these resources, leading to overcrowding and potential exceedance of access limits.
Innovation Solution
A method that determines availability data for physical resources using historical, counter, reservation, and constraint data, which is then displayed on client computing devices to assist users in planning access, thereby improving traffic and meeting resource limits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If real-time access solution is implemented to forecast available access times, then wait times are reduced and access limits are met, but system complexity increases due to data collection and processing requirements
Solution Approach 1:
The system performs preliminary actions by collecting historical access data and computing forecasted available access times in advance. The server computer analyzes past counter data and determines availability data before users request access, so that when a user queries for available times, the forecasting is already complete and can be returned immediately, reducing wait time without adding real-time processing complexity
Solution Approach 2:
A server computer acts as an intermediary between the physical resource and users. The server collects historical data from counters, processes this data to generate forecasted availability times, and presents this information to users through client devices. This intermediary handles the complex data processing centrally, keeping the client devices simple while providing comprehensive forecasting capabilities
2Measurement precision
If availability data is determined from historical and counter data, then accurate forecasting of available access times is achieved, but data processing requirements and computational resources increase
Solution Approach 1:
The data processing is segmented into distinct phases: historical data collection, counter data acquisition, forecasted availability computation, and result presentation. The server divides the computational task of determining availability data into manageable segments that process different types of input data (historical patterns, current counter readings) separately before combining them to generate the final forecasted times
Solution Approach 2:
The system uses self-service by automatically collecting historical access data and counter data without manual intervention. The server computer autonomously processes this collected data to generate forecasted available access times, eliminating the need for manual data entry or analysis while maintaining high forecasting accuracy through continuous automated data processing
3Productivity
If forecasted available access times are provided to users, then traffic distribution and resource utilization are improved, but information management complexity increases
Solution Approach 1:
The system implements feedback by continuously monitoring counter data that tracks actual access to the physical resource. This counter data is fed back to the server computer, which uses it to update and refine the forecasted available access times. The feedback loop ensures that the forecasting system adapts to changing access patterns and maintains accuracy over time, improving resource utilization through increasingly precise recommendations
Data Source
AI summary
An approach is provided for forecasting and reporting available access times of a physical resource. Availability data of a physical resource may be determined from historical data of the physical resource, counter data of the physical resource, reservation data of the physical resource, constraint data of the physical resource, and criteria data of the physical resource, or any combination thereof. The availability data may be displayed on client computing devices upon request.