The disclosure includes a method for traffic flow prediction based on data mining on spatio-temporal correlations. The method includes establishing a prediction model, data mining on spatio-temporal correlations, and traffic flow prediction based on spatio-temporal correlated data. The prediction model can be a linear regression model with multiple variables. The data mining on spatio-temporal correlations is based on a multi-factor linear regression model and by means of the optimization method in terms of sparse representation. The data from the spatio-temporal correlated sensors that are relevant to the prediction task are determined automatically. The traffic flow prediction based on spatio-temporal correlated data refers to that the prediction is performed with the input to the prediction model to be the data from the spatio-temporal correlated sensors.
Method for traffic flow prediction based on spatio-temporal correlation mining
2017-01-31
Patent
Electronic Resource
English
IPC: | G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
METHOD FOR TRAFFIC FLOW PREDICTION BASED ON SPATIO-TEMPORAL CORRELATION MINING
European Patent Office | 2016
|Short-term traffic flow prediction method based on spatio-temporal correlation
European Patent Office | 2020
|Spatio-Temporal AutoEncoder for Traffic Flow Prediction
IEEE | 2023
|Traffic flow prediction method for traffic flow spatio-temporal data information
European Patent Office | 2024
|Traffic flow prediction method based on generative spatio-temporal evolution modeling
European Patent Office | 2023
|