Synergistic Simulation Of Train Group Following Based On Cloud Computing

Railway transportation is a pillar industry related to national economy and people's livelihood.In its development process,safety is always the first factor.On the basis of ensuring safety,how to improve efficiency has become the focus of Chinese railway development.Among them,the train control system guarantees the safety of train operation,and the train following interval time affects the efficiency of train operation.Therefore,according to the functional principle of the train control system,the train motion simulation model is established;the optimization algorithm is designed to shorten the train following interval time,and verified by simulation,which has the guiding significance for the research and development of the railway industry.Through the using of cloud computing platform,the simulation efficiency is improved,and a new research idea is provided for the follow-up researchers.Based on the cloud computing platform of HUAWEI Fusion Cluster,this thesis explores the following simulation and optimization of the train cellular automata model under the CTCS-3(Chinese train control system level 3)and quasi-moving auto-blocking mode.The specific contents of this thesis are as follows:(1)This thesis studies the composition and function of CTCS-3,analyzes the generation and execution process of movement authority,the two-way communication process between the on-board equipment and the ground equipment,and the engineering design criteria of CTCS-3.The four definitions and calculation methods of train following interval time are expounded,checked and analyzed according to the design criteria,and the conclusion is reached that the arrival following interval time restricts the efficiency of train operation.(2)Combined with the cellular automata,the train model under CTCS-3 mechanism and quasi-moving auto-blocking mode are established to determine the evolution rules of train following in blocks and stations.The algorithm flow of train operation is designed,and the method of reducing the initial speed of train arrival by braking in advance is proposed to optimize the arrival following interval time.(3)Deploy and use cloud computing platform to verify its simulation efficiency and reliability.Combined with the actual line situation,through the analysis of train movement behaviors,the passing and stopping scheme of the train group following is formulated,and the cloud computing platform is used to simulate train following,which verifies the rationality and effectiveness of the optimization algorithm.At the same time,improving the receiving capacity of a station and analyzing its impact on train following further verify the practicability of the simulation system.