Research on Decision-Making for Automatic Operation of Heavy-Haul Trains in Automatic Block Sections
The operation of heavy-haul trains requires frequent stopping, resulting in low traffic efficiency, due to their long formations and high loads, as well as dynamic signaling changes in automatic block sections. Therefore, both scheduled traffic and dynamic stopping need to be taken into account in t...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Control and Information Technology
2024-08-01
|
| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2024.04.002 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | The operation of heavy-haul trains requires frequent stopping, resulting in low traffic efficiency, due to their long formations and high loads, as well as dynamic signaling changes in automatic block sections. Therefore, both scheduled traffic and dynamic stopping need to be taken into account in the decision programming of automatic operation systems for the control of heavy-haul trains in automatic block sections. This paper proposes a double-layer collaborative decision-making model for the automatic operation of heavy-haul trains, based on an analysis of their dynamics characteristics and the characteristics of signaling changes under automatic blocking, to simultaneously ensure traffic efficiency and smooth stopping. This two-layer model is interconnected through coupling points in operation. The upper-layer model takes schedules based on train graphs as constraints to optimize control curves, aiming for energy saving and stable operation, while calculating coupling state intervals under these desired conditions. The lower-layer model incorporates the most unfavorable signaling (stopping) constraints and uses optimal coupling states from the upper model as its starting point for the optimization of control curves, with the goal of ensuring safe and stable stopping. In the automatic operation experiments conducted on the Suozhou-Huanghua East Line, the proposed model achieved zero takeovers throughout the entire journey. Experimental data showed that its effectiveness in improving both the safety and stability of train operation, while ensuring operational efficiency. |
|---|---|
| ISSN: | 2096-5427 |