Methods and systems for interpretable user behavior profiling in off-street parking
First Claim
1. A parking lot usage profiling method for improving a parking management system, said method comprising:
- collecting transaction data from at least one off-street parking area utilizing at least one data extractor among a plurality of data extractors;
analyzing said transaction data with respect to spatio-temporal behavioral patterns using machine learning that includes feature extraction with respect to said transaction data collected from said at least one off-street parking area utilizing said at least one data extractor among said plurality of data extractors;
compiling user profiles from said transaction data in at least one database that communicates with said at least one data extractor, in response to analyzing said transaction data with respect to spatio-temporal behavioral patterns with respect to said at least one off-street parking area; and
providing a visualization engine for visualizing said user profiles and other data, wherein said visualization engine includes a GUI (Graphical User Interface) for visualizing parking and traffic data and implementing a framework for creating, testing, and exploring data processing techniques in geo-spatial data with ease, said GUI comprising a profiling tool displayed in a secondary screen of said GUI that allows said user to select and create a clustering module, and wherein said profiling tool further automatically creates profiles from suggested options that are capable of being manually overridden for exploratory purposes in a third screen of said GUI, wherein said spatio-temporal behavior patterns include said geo-spatial data and wherein said parking and traffic data include said transaction data, which results in improvements in the functioning of said parking management system and user profiling in off-street parking applications.
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0 Petitions
Accused Products
Abstract
Methods and systems for interpretable user behavior profiling in off-street parking applications. To render user profiles easy to interpret by decision makers, the semi-automatic discovery and tagging of user profiles can be implemented. Transaction data from one or more (and geographically close) off-street parking installations can be implemented. An analysis of spatio-temporal behavioral patterns can be implemented based on representation of any parking episode by a set of heterogeneous features, the use of clustering methods for automatic pattern discovery, an assessment of obtained clusters, semi-automatic identification/tagging of space-temporal patterns, and a user-friendly interpretation of obtained patterns.
14 Citations
19 Claims
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1. A parking lot usage profiling method for improving a parking management system, said method comprising:
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collecting transaction data from at least one off-street parking area utilizing at least one data extractor among a plurality of data extractors; analyzing said transaction data with respect to spatio-temporal behavioral patterns using machine learning that includes feature extraction with respect to said transaction data collected from said at least one off-street parking area utilizing said at least one data extractor among said plurality of data extractors; compiling user profiles from said transaction data in at least one database that communicates with said at least one data extractor, in response to analyzing said transaction data with respect to spatio-temporal behavioral patterns with respect to said at least one off-street parking area; and providing a visualization engine for visualizing said user profiles and other data, wherein said visualization engine includes a GUI (Graphical User Interface) for visualizing parking and traffic data and implementing a framework for creating, testing, and exploring data processing techniques in geo-spatial data with ease, said GUI comprising a profiling tool displayed in a secondary screen of said GUI that allows said user to select and create a clustering module, and wherein said profiling tool further automatically creates profiles from suggested options that are capable of being manually overridden for exploratory purposes in a third screen of said GUI, wherein said spatio-temporal behavior patterns include said geo-spatial data and wherein said parking and traffic data include said transaction data, which results in improvements in the functioning of said parking management system and user profiling in off-street parking applications. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A parking lot usage profiling system that improves a parking management system, said system comprising:
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at least one processor; and a computer-usable medium embodying computer program code, said computer-usable medium capable of communicating with said at least one processor, said computer program code comprising instructions executable by said at least one processor and configured for; collecting transaction data from at least one off-street parking area utilizing at least one data extractor among a plurality of data extractors; analyzing said transaction data with respect to spatio-temporal behavioral patterns using machine learning that includes feature extraction with respect to said transaction data collected from said at least one off-street parking area utilizing said at least one data extractor among said plurality of data extractors; compiling user profiles from said transaction data in at least one database that communicates with said at least one data extractor, in response to analyzing said transaction data with respect to spatio-temporal behavioral patterns with respect to said at least one off-street parking area; and providing a visualization engine for visualizing said user profiles and other data, wherein said visualization engine includes a GUI (Graphical User Interface) for visualizing parking and traffic data and implementing a framework for creating, testing, and exploring data processing techniques in geo-spatial data with ease, said GUI comprising a profiling tool displayed in a secondary screen of said GUI that allows said user to select and create a clustering module, and wherein said profiling tool further automatically creates profiles from suggested options that are manually overridden for exploratory purposes in a third screen of said GUI, wherein said spatio-temporal behavior patterns include said geo-spatial data and wherein said parking and traffic data include said transaction data, which results in improvements in the functioning of said parking management system and user profiling in off-street parking applications. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19)
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Specification