The Optimization Study on Passenger Organization at Passenger Station Based on CAS
The paper combines the passenger behavior with the decision of administrative department based on multi-agent simulation method of complex system theory, considering each advantage of CA and multi-agent, with the entrance of administrative departments and passenger behavior. In the passenger organization optimization model involving in different kinds of agents such as passenger organization agent and passenger agent, which combines multi-agent with CA, the environment factor is expressed by CA and the paper constructs multi-agent behavior decision model depending on the basic frame of cellular automata (CA) pedestrian flow. Individuals respond to the changes of environment around through the interaction between resource and the environment or negotiating with another individual. Through simulating the complex process of decision making of administrative departments, it brings forward the technical route and the basic frame of the passenger organization optimization of large-scale passenger station on complex adaptive system(CAS), constructs the optimization system of passenger organization based on multi-agent, discusses the structure and the competing and cooperating relationship between each agent, and designs the optimization arithmetic based on genetic algorithm(GA) of multi-agent. At last, taking the optimization of passenger organization during rush hours at Guangzhou Station as the example to analysis and getting a good effect, this can offer the reference to the decision making of administrative departments.
Complex adaptive system (CAS) Passenger organization Cellular automata (CA) Multi-agent Genetic algorithm (GA)
Wei Wang Li Huang
Transportation & Logistics Engineering Institution, HoHai University, Nanjing 210098, P. R. China PHD of Business School, HoHai University, Nanjing 210098, P. R. China
国际会议
The 2007 International Conference on Intelligent Systems and Knowledge Engineering(第二届智能系统与知识工程国际会议)
成都
英文
740-746
2007-10-15（万方平台首次上网日期，不代表论文的发表时间）