Vehicle Position Data Analysis for Automated Parking Search Detection
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Solution Overview
Problem
Current parking services rely heavily on user input and are inefficient in determining the start of parking space search traffic, as they require calibration and can only detect this at specific points, lacking an automated and reliable method.
Innovation Solution
A method that uses vehicle position data, including GPS coordinates and time stamps, to identify inefficiencies in driving routes, verifying these inefficiencies using map data to determine the start of parking space search traffic by comparing actual and shortest routes, and outputting this information for further processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If user input is used to determine parking space search traffic, then the system can obtain parking search information, but the system becomes strongly dependent on user participation and input quality
Solution Approach 1:
The system processes measurement data from the vehicle's own sensors (GPS position data) to automatically determine parking space search traffic. The vehicle itself generates the data needed for analysis without requiring external user input, making the system self-sufficient and eliminating dependency on user participation.
Solution Approach 2:
The patent replaces the manual user input mechanism with an automated electronic data processing system. Instead of relying on users to manually report parking searches, the system uses electronic sensors and algorithms to automatically detect and process position data, substituting mechanical/user-based data collection with electronic automation.
2Loss of information
If stationary sensors are deployed to detect parking space search traffic, then dynamic parking information can be obtained, but the system becomes complex and expensive to implement
Solution Approach 1:
Instead of deploying physical stationary sensors in the environment, the system uses virtual sensing through software algorithms that process data from existing vehicle sensors. The measurement data from the vehicle's GPS system serves as a copy or representation of the physical movement, allowing the system to detect parking search behavior without physical sensor infrastructure.
Solution Approach 2:
The patent leverages the multi-functionality of existing vehicle systems (GPS positioning already used for navigation) to also detect parking space search traffic. The same position data used for route guidance is repurposed to identify parking search behavior, eliminating the need for dedicated sensor infrastructure.
3Measurement precision
If route inefficiency is calculated using map data for verification, then the accuracy of detecting parking space search traffic is improved, but the computational power and memory requirements increase
Solution Approach 1:
The system performs preliminary filtering of position data before detailed analysis. By pre-processing the measurement data to identify potential parking search patterns based on simple criteria (such as unusual route deviations), the system reduces the amount of data that requires computationally intensive map-based verification, thereby reducing overall energy consumption.
Solution Approach 2:
The patent applies map data verification selectively rather than continuously. Instead of verifying every position point against map data, the system only performs detailed route inefficiency calculation when preliminary analysis suggests a parking search event is occurring, reducing computational overhead while maintaining detection accuracy for relevant events.
Data Source
AI summary
Processing position data relating to a vehicle, in order to determine the start of a search for a parking space, includes determining an end position and determining at least one inefficiency value by comparing at least part of a drive with at least one linear distance to the end position, wherein the at least one inefficiency value identifies an inefficiency of the drive. The process further includes determining at least one route inefficiency value based on position data from a map to verify an identified inefficiency for at least one position for which an inefficiency has been identified. Parking space search traffic can then be output, as detected, if there is a route inefficiency.