Method for traffic flow prediction based on spatio-temporal correlation mining
US9558661B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 29, 2016 |
| Grant date | Jan 31, 2017 |
| Priority date | — |
| Expiry date | Jun 29, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.