{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11301769","patent":{"patent_number":"US-11301769","title":"Method for recognizing multi-dimensional anomalous urban traffic event based on ternary gaussian mixture model","assignee":null,"inventors":[],"filing_date":"2020-04-13T00:00:00.000Z","publication_date":"2022-04-12T00:00:00.000Z","cpc_codes":["G06N","G08G","G08G","G08G","G06F"],"num_claims":3,"abstract":"A method for recognizing multi-dimensional anomalous urban traffic events based on a ternary Gaussian mixture model includes: reading a data sample of urban road traffic events; randomly dividing the data sample into a first subsample and a second subsample; performing modeling based on the first subsample by using the ternary Gaussian mixture model to obtain a second ternary Gaussian mixture model to calculate a distribution probability p of any sample point; clustering the second subsample, recognizing an outlier in the second subsample, and labeling the outlier and a normal point to obtain a labeled subsample; calculating the labeled subsample to obtain the distribution probability p corresponding to each sample point in the labeled subsample; when a new traffic event occurs, obtaining features of three dimensions of the new traffic event, calculating a distribution probability p by using the second model, and recognizing the new traffic event as anomalous if p<t-score."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Method for recognizing multi-dimensional anomalous urban traffic event based on ternary gaussian mixture model","description":"A method for recognizing multi-dimensional anomalous urban traffic events based on a ternary Gaussian mixture model includes: reading a data sample of urban road traffic events; randomly dividing the ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11301769","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11301769","citation_suggestion":"Patentable. \"Method for recognizing multi-dimensional anomalous urban traffic event based on ternary gaussian mixture model\" (US-11301769). https://patentable.app/patents/US-11301769","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11301769","json":"https://patentable.app/api/llm-context/US-11301769","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T17:16:05.054Z"}