A DQN-Based Algorithm for Operational Optimization of Freight Trains in Long Steep Downhill Sections
Freight trains running in long steep downhill sections require speed regulation through cycle braking. However, improper braking application and release timing can pose significant safety risks in train operation. Taking SS6B electric locomotive pulling C80 freight car as the research object, the tr...
Saved in:
| Main Authors: | HE Zhiyu, LI Yinan, LI Hui, JI Zhijun |
|---|---|
| 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.2096-5427.2024.04.003 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research on operation optimization of heavy-haul combined trains in long and steep downhill sections based on reinforcement learning
by: WANG Jianhua, et al.
Published: (2023-11-01) -
Optimization of Beamforming and Transmit Power Using DQN and Comparison With Traditional Techniques
by: Parmida Geranmayeh, et al.
Published: (2025-01-01) -
DQN-Based Shaped Reward Function Mold for UAV Emergency Communication
by: Chenhao Ye, et al.
Published: (2024-11-01) -
Collaborative Beamforming with DQN for Interference Mitigation in 5G and Beyond Networks
by: Alaelddin F. Y. Mohammed, et al.
Published: (2024-12-01) -
Cloud Parameter Characteristics of Three Strengthening Convective Systems During Downhill Processes in Beijing
by: Yang Yiya, et al.
Published: (2024-07-01)