Weighted Parking Space Selection for Automated Rebooking and Swaps
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Solution Overview
Problem
Parking in densely populated urban environments is frustrating and time-consuming, with traditional systems requiring manual searches and cancellations for better options, and there's a need for efficient, automated methods to secure higher-value parking spaces.
Innovation Solution
A system and method for securing parking spaces based on weighted listing parameters, using machine learning to dynamically adjust weights, and facilitating exchanges between users to optimize parking reservations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional manual search methods are used to find better parking spaces, then users can potentially find cheaper and closer spaces, but the process is time-consuming and requires manual cancellation and rebooking
Solution Approach 1:
The system enables self-service by automatically monitoring parking space availability and characteristics, calculating listing values based on multiple parameters, and executing bookings without manual user intervention. The automated system continuously searches for optimal parking spaces and handles the entire booking process, eliminating the need for users to manually search, compare, and cancel reservations.
Solution Approach 2:
The patent replaces manual mechanical operations (physical searching, comparing, and booking) with an automated computational system that uses algorithms to evaluate parking spaces based on weighted parameters such as distance, price, and availability, automatically securing optimal spaces without human intervention.
2Adaptability or versatility
If users manually search for better parking options, then they may find cheaper and closer spaces, but they must cancel current bookings and hope availability remains
Solution Approach 1:
The system maintains continuous monitoring of parking space availability and characteristics, constantly evaluating optimal options based on updated parameters. This continuous action ensures that when the system secures a parking space, it has the most current information available, maximizing the reliability that the space is still available and meets the user's preferences.
Solution Approach 2:
The system incorporates feedback mechanisms by continuously receiving updated information about parking space availability, price changes, and characteristic modifications. This feedback loop allows the system to adapt its search and booking decisions in real-time, improving both the adaptability to find better options and the reliability of securing available spaces.
3Productivity
If automated systems are used to secure parking spaces, then efficiency is improved and traffic is reduced, but system complexity increases
Solution Approach 1:
The system manages complexity by focusing on a defined set of key parameters (distance, price, availability, time) with assigned weights that can be adjusted based on user preferences. By standardizing the evaluation framework around these specific parameters, the system achieves high automation efficiency without requiring overly complex decision-making structures.
4Measurement precision
If multiple parking parameters are considered for selection, then better parking options are identified, but the evaluation process becomes more complex
Solution Approach 1:
The system handles multiple parameters efficiently by assigning numerical weights to each parameter (distance, price, availability, time) based on user preferences and importance. This weighted parameter approach transforms a complex multi-criteria evaluation into a standardized scoring system, improving measurement precision while managing computational complexity through mathematical simplification.
Data Source
AI summary
Parking space selection and navigation systems and methods are disclosed. Computing devices are configured to receive a search request from a user device to secure a first parking space, secure a first parking space for the first user device, determine a first value associated with the first parking space and a second value associated with a second parking space based on listing parameters, determine that the second value is greater than the first value by a predefined amount, and, in response to that determination, transmit a message to the user device comprising a prompt configured to secure the second listing and transmitting a second user-selectable message to a second user device, the second user-selectable message comprising a prompt configured to exchange the second parking space with the first with an incentive for the second user device to exchange parking spaces.