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Optimization Method Of Multi-agent Operation Control Of High-speed Train Platoon

Posted on:2021-03-30Degree:MasterType:Thesis
Country:ChinaCandidate:J N LiuFull Text:PDF
GTID:2392330614972379Subject:Traffic Information Engineering & Control
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High-speed railway,which plays the role of backbone network in China's comprehensive transportation systems due to its high running speed,high loading capacity,low energy consumption,and high safety,is an indispensable part of China's comprehensive transportation industry.With the promotion of One Belt And One Road regional and global development initiative,it is the primary issue for the development of railway transport in China to improve the space utilization of railway lines and enhance the carrying capacity of railway transport system.However,under the requirements of high density and small interval of high-speed railway,the problem of train knock-on delay cannot be ignored.In this paper,the idea of multi-agent flocking formation was introduced and the train platoon operation model was established,to meet the above railway transport development requirements.The train tracking process between subclusters and within subcluster of platoon was analyzed.With the expected goals of safety,stability,efficiency and energy-efficiency of train operation,this paper studied the coordinated optimization and adjustment scheme of train group operation control from the perspective of the coordinated optimization of train departure interval and interval dynamic control strategy,which improved the utilization rate of line space and solved the problem of knock-on delay.The main research contents include the following:(1)The thesis makes a study of the dynamic running process of trains in platoon.The dynamic model of single train is established.Meanwhile,the hierarchical structure,the tracking models of trains operating between platoons and in platoon subcluster,as well as the tracking strategy model are proposed based on the consideration of train tracking operation process.A multi-objective optimization model and constraint model of train platoon operation are established.The above models provide the necessary model support for the following research.(2)The thesis lucubrates the coordinated optimization scheme of train platoon operation control.Firstly,the optimal speed trajectory of a train is obtained by using the differential evolution algorithm with improved mutation strategy.Then the speed control strategy for the leading train of the platoon subcluster is proposed.The evaluation index of train tracking behavior,the guiding factor of train tracking behavior adjustment,and the dynamic adjustment strategy are established,taking member trains operating in platoon subcluster as the research object.The cooperative optimization model of train platoon is proposed,Multi-objective Cultural Differential Evolution Algorithm(MOCDE)and Seeker Optimization Algorithm(SOA)are adopted to solve the cooperative optimization scheme of train platoon,trains' departure interval and speed control strategy curve are obtained.The performance of the two algorithms is compared by simulation.The results show that SOA can solve the cooperative optimization scheme of train platoon operation more effectively.(3)The thesis makes a study of collaborative optimization and adjustment method of delay in train platoon operation.The problem of train delay and corresponding adjustment strategy are analyzed.The train operation optimization adjustment model and strategy are proposed,under the different delay conditions.The replanning operation control strategy of train platoon was obtained using Improved Cuckoo Search Algorithm(ICS).Simulation examples is constructed based on the actual data of the "Chibi North-Changsha South" section of Wuhan-Guangzhou High-speed railway to verify the proposed models and algorithms.The performance of the train tracking in platoon and non-platoon is compared and analyzed.The results show that the rail-line space utilization rate of ten trains in two-platoon-subcluster is improved by 250 s,energy consumption is reduced by 5.11% compared with the actual data,and trains operate more closely.In the train platoon operating mode of four trains in two-platoon-subcluster,when the temporary speed limit range is 30 ~ 63km(speed limit 250km/h),delay can be resolved within a platoon subcluster,and the operation of the following two trains will not be disturbed.When the temporary speed limit is 30 ~ 73km(speed limit 250km/h),the original platoon subclusters should be unformed and reformed,but the train operation of the subsequent platoon subclusters will not be disturbed.This thesis contains 67 figures,26 tables and 73 references.
Keywords/Search Tags:High-speed train, Train platoon operation model, Train operatin control collaborative optimization, Collaborative adjustment of delay, Multi-objective cultural differential evolution algorithm, Seeker optimization algorithm
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