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Intelligent Hybrid Model Research For The Simulation Of High-speed Train Group Operation Progress

Posted on:2010-07-28Degree:MasterType:Thesis
Country:ChinaCandidate:F S HuFull Text:PDF
GTID:2178360275973482Subject:Traffic safety engineering
Abstract/Summary:PDF Full Text Request
Nowadays,along with the rapid development of China Railway transportation,high-speed railway has become an irreversible trend of development of rail transportation.How to ensure efficient and high quality operation of the high-speed railway has become an important issue.In order to solve this problem,we must study how to build model for high-speed train group during operation.In this paper,we establish the model of the high-speed train group during operation, based on the analysis of predecessors' work.The author advances a new modeling methods of Intelligent Hybrid System,that is to say,the Intelligent Hybrid System model of high-speed train group during operation based on the combination of Cellular Automata(CA) and Constrained Generating Procedure(CGP).The model consists of three tiers:static layer,dynamic layer,coordination layer.Static layer adopts hybrid cellular automaton to build model toward the non-moving part including the lines and stations.Dynamic layer adopts the CGP to build train models in order to achieve the automation of train operation.Coordination layer adopts the CGP to build models in order to achieve the coordination control of the entire road network and ensure the safe and orderly operation of the train.The three layers are related with each other by varies rules,and then achieve to describe the dynamics of high-speed train group operation process efficiently and accurately.Based on the Intelligent Hybrid System model,this paper implements the simulation of high-speed train group operation process of railway traffic system.The experiments show that the model can perform well in simulating the dynamic behavior of high-speed train group during operation.It also reflects the emergence phenomenon of train group in process and analyzes the delayed time and the number of delayed trains, and the results show that the relation between delayed time and the number of delayed trains is non-linear.Finally,the author summarizes the work in the paper,and points out the problems solved in next work.
Keywords/Search Tags:Intelligent Hybrid System, Cellular Automata, Constrained Generating Procedure model, high-speed train group, emergence, Complex Adaptive System, simulation
PDF Full Text Request
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