Chapter
Apr 26, 2012
The Multi-Agent Model of Railway Station Operation Simulation System
Authors: Gongyuan Lu [email protected], Li Li [email protected], Dong He [email protected], and Xiang Zang [email protected]Author Affiliations
Publication: International Conference on Transportation Engineering 2009
Abstract
The universal railway station operation simulation Multi-Agent (M-A) model is built on the base of analysis of railway station operation organization process. The model is divided into four levels, eight types of specialized functions Agents. The overall structure of M-A model is built and the major function, structure, design method of management layer, decision layer, application layer and environment layer is studied. On the base of that, the social function of each agent layers are defined, then the organization and coordination methods in the simulation process is studied, the railway station operation M-A model is applied in the study of railway stations operation simulation system.
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Published In
International Conference on Transportation Engineering 2009
Pages: 362 - 367
Copyright
© 2009 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Aging (material)
- Business management
- Design (by type)
- Deterioration
- Engineering fundamentals
- Infrastructure
- Management methods
- Materials characterization
- Materials engineering
- Models (by type)
- Organizations
- Practice and Profession
- Rail transportation
- Railroad stations
- Simulation models
- Structural design
- Structural models
- Terminal facilities
- Transportation engineering
- Transportation management
Authors
Affiliations
College of Traffic & Transportation, Southwest Jiaotong University, Chengdu, 610031, China Email: [email protected] and Key Laboratory of Comprehensive Transportation of Sichuan Province, Chengdu. E-mail: [email protected]
College of Traffic & Transportation, Southwest Jiaotong University, Chengdu, 610031, China. Email: [email protected] and Key Laboratory of Comprehensive Transportation of Sichuan Province, Chengdu. E-mail: [email protected]
College of Traffic & Transportation, Southwest Jiaotong University, Chengdu, 610031, China. Email: [email protected] and Key Laboratory of Comprehensive Transportation of Sichuan Province, Chengdu. E-mail: [email protected]
College of Traffic & Transportation, Southwest Jiaotong University, Chengdu, 610031, China. Email: [email protected] and Key Laboratory of Comprehensive Transportation of Sichuan Province, Chengdu. E-mail: [email protected]
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