Train control with centralized and edge processing handovers
US11332173B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 11, 2019 |
| Grant date | May 17, 2022 |
| Priority date | — |
| Expiry date | Nov 20, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/10
- WIPO fieldTransport
- WIPO sectorMechanical engineering
Abstract
A train control system uses machine learning for implementing handovers between centralized and distributed train control models. A machine learning engine receives training data from a data acquisition hub, receives a centralized train control model from a centralized virtual system modeling engine, and receives an edge-based train control model from an edge-based virtual system modeling engine. The machine learning engine trains a learning system using the training data to enable the machine learning engine to predict when a locomotive of the train will enter a geo-fence where communication between the edge-based computer processing system and the centralized computer processing system will be inhibited.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.