System and method for multi-task learning for prediction of demand on a system
US9349150B2 · kind B2 · utility
6Cited by
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20Claims
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Key dates
| Filing date | Dec 26, 2013 |
| Grant date | May 24, 2016 |
| Priority date | — |
| Expiry date | Aug 20, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG08G1/0129
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
A multi-task learning system and method for predicting travel demand on an associated transportation network are provided. Observations corresponding to the associated transportation network are collected and a set of time series corresponding to travel demand are generated. Clusters of time series are then formed and for each cluster, multi-task learning is applied to generate a prediction model. Travel demand on a selected segment of the associated transportation network corresponding to at least one of the set of time series is then predicted in accordance with the generated prediction model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.