Multi-agent-based modelling and simulation of high-speed train. (September 2020)
- Record Type:
- Journal Article
- Title:
- Multi-agent-based modelling and simulation of high-speed train. (September 2020)
- Main Title:
- Multi-agent-based modelling and simulation of high-speed train
- Authors:
- Kou, Li
Fan, Wenhui
Song, Shuang - Abstract:
- Highlights: Chinese high-speed train has developed rapidly and gained worldwide recognition. Traditional simulation methods are not suitable for the emergence of complex systems. A multi-agent-based modelling and simulation technology can help to verify the design. The multi-agent-based method is more intelligent, flexible and time-saving. Abstract: In recent years, the Chinese high-speed train (HST) has achieved leapfrog development with independent innovation by introducing and incorporating new technologies. Modelling and simulation are the most effective and economical methods for research on the HST. However, the traditional methods are not suitable for the HST's large-scale systems, which contain numerous and complex structures, interactions, and emergence effects. In this paper, we propose a multi-agent-based modelling and simulation (MABMS) technology that can simulate the relationship between the individual behaviour and overall performance of the HST's components. The results provide the basis for analysing and studying the micro and macro level of the system. Meanwhile, we develop a new MABMS platform to perform additional experiments. Our simulation results indicate that this method is practicable and can play an important role in promoting the development of the HST. Graphical abstract: We propose a multi-agent-based modelling and simulation (MABMS) technology that can simulate the relationship between the individual behaviour and overall performance of theHighlights: Chinese high-speed train has developed rapidly and gained worldwide recognition. Traditional simulation methods are not suitable for the emergence of complex systems. A multi-agent-based modelling and simulation technology can help to verify the design. The multi-agent-based method is more intelligent, flexible and time-saving. Abstract: In recent years, the Chinese high-speed train (HST) has achieved leapfrog development with independent innovation by introducing and incorporating new technologies. Modelling and simulation are the most effective and economical methods for research on the HST. However, the traditional methods are not suitable for the HST's large-scale systems, which contain numerous and complex structures, interactions, and emergence effects. In this paper, we propose a multi-agent-based modelling and simulation (MABMS) technology that can simulate the relationship between the individual behaviour and overall performance of the HST's components. The results provide the basis for analysing and studying the micro and macro level of the system. Meanwhile, we develop a new MABMS platform to perform additional experiments. Our simulation results indicate that this method is practicable and can play an important role in promoting the development of the HST. Graphical abstract: We propose a multi-agent-based modelling and simulation (MABMS) technology that can simulate the relationship between the individual behaviour and overall performance of the Chinese high-speed train's components. Image, graphical abstract … (more)
- Is Part Of:
- Computers & electrical engineering. Volume 86(2020)
- Journal:
- Computers & electrical engineering
- Issue:
- Volume 86(2020)
- Issue Display:
- Volume 86, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 86
- Issue:
- 2020
- Issue Sort Value:
- 2020-0086-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-09
- Subjects:
- Multi-agent-based -- Modelling -- Simulation -- High-speed train
Computer engineering -- Periodicals
Electrical engineering -- Periodicals
Electrical engineering -- Data processing -- Periodicals
Ordinateurs -- Conception et construction -- Périodiques
Électrotechnique -- Périodiques
Électrotechnique -- Informatique -- Périodiques
Computer engineering
Electrical engineering
Electrical engineering -- Data processing
Periodicals
Electronic journals
621.302854 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00457906/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compeleceng.2020.106744 ↗
- Languages:
- English
- ISSNs:
- 0045-7906
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.680000
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- 14599.xml