{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11995982","patent":{"patent_number":"US-11995982","title":"Method for constructing prediction model of auto trips quantity and prediction method and system","assignee":null,"inventors":[],"filing_date":"2020-12-10T00:00:00.000Z","publication_date":"2024-05-28T00:00:00.000Z","cpc_codes":["G06N","G08G","G06N","G06N","G08G"],"num_claims":5,"abstract":"A method for constructing a prediction model of an auto trips quantity and a prediction method and system are disclosed. The prediction model construction method designs a deep neural network Multitask GCN-LSTM based on GCN and LSTM for predicting the auto trips quantity. The deep neural network comprises three modules, wherein the three modules are respectively used for extracting a spatial correlation, a temporal correlation and a feature fusion. The prediction method and system predict the auto trips quantity based on a model constructed. By considering a road segment local relationship and a road segment global relationship and taking an auto arrival quantity as a related task in constructing the model, the prediction model construction method uses a multi-task learning method to avoid overfitting of the deep neural network and reduce a prediction error of the auto trips quantity effectively."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Method for constructing prediction model of auto trips quantity and prediction method and system","description":"A method for constructing a prediction model of an auto trips quantity and a prediction method and system are disclosed. The prediction model construction method designs a deep neural network Multitas","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11995982","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-11995982","citation_suggestion":"Patentable. \"Method for constructing prediction model of auto trips quantity and prediction method and system\" (US-11995982). https://patentable.app/patents/US-11995982","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11995982","json":"https://patentable.app/api/llm-context/US-11995982","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T05:02:37.642Z"}