Dynamic NEURO-FUZZY model of traffic control of the transport stream

被引：0
|
作者：
Nechaev, Yuri [1 ]
Osipov, Vladimir [2 ]
Sudakov, Vladimir [2 ]
机构：
[1] ITMO Univ, eSci Res Inst, St Petersburg, Russia
[2] RAS, KIAM, Dept 16, Moscow, Russia
来源：
2018 IVANNIKOV ISPRAS OPEN CONFERENCE (ISPRAS) | 2018年
基金：
俄罗斯科学基金会;
关键词：
transport system; intelligence technology; high-performance means; planning of operation; dynamic environment; competition principle;
D O I：
10.1109/ISPRAS.2018.00026
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The concept and principles of the organization of Neuro-Fuzzy traffic control of transport systems on the basis of intelligence technologies and high-performance means of computing is discussed. The developed information model provides the operative control of the current situations caused by transport streams in difficult dynamic environments. The special attention addresses on the decision of a problem of planning of operations and development of operating decisions at realization of a competition principle in the conditions of uncertainty and incompleteness of the initial information.
引用
收藏
页码：116 / 121
页数：6
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