Parking Space Directory Using Confidence Intervals
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Nontraditional parking spaces without signs or markings are difficult for unfamiliar drivers to identify, as they lack clear indicators of their availability for parking.
Innovation Solution
A system utilizing sensors and a central server to collect data on potential parking spaces, determining a confidence interval based on vehicle usage, and generating a directory that includes the location and confidence interval of actual parking spaces, which can be shared with other vehicles or devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional parking spaces with signs and markings are used, then drivers can easily identify parking spaces, but nontraditional parking spaces without such markings cannot be effectively identified or disseminated
Solution Approach 1:
The system uses visual indicators (color-coded tags or digital displays) to mark parking spaces, transforming invisible nontraditional spaces into visible ones through color or light signals that drivers can easily perceive from a distance
Solution Approach 2:
The system introduces an intermediary information layer (directory system with visual markers) that bridges the gap between physical parking spaces and drivers' perception, allowing nontraditional spaces to be identified without physical markings on the ground
2Quantity of substance
If a directory system is created for nontraditional parking spaces, then more parking spaces become accessible to drivers, but the complexity of data collection and verification increases
Solution Approach 1:
The system enables automated self-verification where parking spaces register themselves through sensor detection and vehicle interaction data, eliminating the need for manual verification of each parking space's validity
Solution Approach 2:
The system uses confidence interval parameters to dynamically filter and validate parking space data, automatically adjusting verification thresholds based on the amount and quality of collected evidence without increasing operational complexity
3Reliability
If confidence interval validation is implemented to ensure parking space accuracy, then false positives are reduced, but the time and computational resources required for validation increase
Solution Approach 1:
The system applies partial validation by setting minimum confidence threshold requirements rather than requiring complete verification of all possible parameters, allowing faster processing while maintaining sufficient accuracy for practical use
Solution Approach 2:
The system performs preliminary filtering of parking space candidates using basic criteria before applying more intensive confidence interval analysis, reducing the overall computational burden and time required for full validation
Data Source
AI summary
A system for generating a parking space directory includes at least one processor and a memory device in communication with the at least one processor. The memory device includes a communications module, a confidence interval module, and a directory generating module. The modules includes instructions that when executed by the one or more processors causes the one or more processors to obtain parking information related to at least one parking space having a vehicle parked within the at least one parking space, determine a confidence interval that the at least one parking space is an actual parking space based on a number of vehicles that have utilized the at least one parking space, and generate a directory of the at least one parking space that includes the location of the parking space and the confidence interval associated with the at least one parking space.