Multi-layer coupling relationship-based train operation deviation propagation condition recognition method
US11938984B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 19, 2020 |
| Grant date | Mar 26, 2024 |
| Priority date | — |
| Expiry date | May 31, 2041 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB61L27/50
- WIPO fieldTransport
- WIPO sectorMechanical engineering
Abstract
The present invention relates to a multi-layer coupling relationship-based train operation deviation propagation condition recognition method, where the method includes the following steps: (1) recognizing an effective train event time sequence, including an arrival event and a departure event of a train at each passing station; (2) uniformly extracting train activity data, including a stop activity, a section operation activity, a turn-back activity, and an arrival or departure interval activity; (3) constructing coupling relationship groups between a train event and a train activity and between train activities; and (4) performing statistics on changes of train operation deviation in each relationship group, and outputting a respective distribution function and a time-space distribution visualized result. Compared with the prior art, the present invention has the advantages of being practical, automatic recognition, feedback optimization, and the like.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.