2022
DOI: 10.1007/978-981-16-9909-2_33
|View full text |Cite
|
Sign up to set email alerts
|

Optimization of Train Combination Strategy in Heavy-Haul Railway Technical Station

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 2 publications
0
1
0
Order By: Relevance
“…Zhu Taomei, Mera Jose Manuel, and Suarez Berta use intelligent body technology to develop a railroad station scheduling aid decision system to solve the problem of organizing station operations in the presence of train delays and conflicts [11]. Du Yanhua and Ye Yangdong proposed a Petri subnet model for distributed railroad operation simulation system and built a multi-intelligent body-based railroad operation simulation system [12]. Wang Honggang used MAS theory to develop railroad operation scheduling system, designed the structure of railroad bureau intelligences and station intelligences on the basis of dividing static and dynamic transportation environments, and gave rules for intelligences to follow and negotiation methods between intelligences [13].…”
Section: State Of the Artmentioning
confidence: 99%
“…Zhu Taomei, Mera Jose Manuel, and Suarez Berta use intelligent body technology to develop a railroad station scheduling aid decision system to solve the problem of organizing station operations in the presence of train delays and conflicts [11]. Du Yanhua and Ye Yangdong proposed a Petri subnet model for distributed railroad operation simulation system and built a multi-intelligent body-based railroad operation simulation system [12]. Wang Honggang used MAS theory to develop railroad operation scheduling system, designed the structure of railroad bureau intelligences and station intelligences on the basis of dividing static and dynamic transportation environments, and gave rules for intelligences to follow and negotiation methods between intelligences [13].…”
Section: State Of the Artmentioning
confidence: 99%