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The Urban Rail Transit Train Regulation Research Based on Predictive Control

Author: XuSan
Tutor: ZuoChunHai
School: Beijing Jiaotong University
Course: Traffic Information Engineering \u0026 Control
Keywords: Train Operation Adjustment Predictive Control Schedule adjustment Interval adjustment
CLC: U292.8
Type: Master's thesis
Year: 2010
Downloads: 160
Quote: 0
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Abstract


With the acceleration of urbanization process and train control technology development , the construction of urban rail transit usher in a peak period . Construction of subway network, to provide travelers with the convenience, but also posed a challenge to train operation adjustment . Communication - based train control (Communications-based Train Control, CBTC) technology in urban rail transit in a wide range of applications , greatly shortening the train tracking interval , a higher demand real-time train operation adjustment . But at this stage is still not a mature and efficient train operation adjustment technology . Therefore , in the current environment Operation Adjustment theoretical research is necessary . In this paper, the train is automatically adjusted based on predictive control modeling and algorithm implementation , the algorithm was validated in the simulation environment . First , the paper run adjustment difficulties as well as the current problems in-depth analysis , combined with the advantages of predictive control algorithm proposed predictive control algorithm is applied to solve Train Operation Adjustment difficult problems . Secondly, the introduction are two basic strategies for Train Operation Adjustment - the schedule adjust and Headway adjustment principles and methods , and from the point of view of the principle of the hat curve to adjust the strategy of the thoughts in-depth analysis of the above two . Again , the characteristics of urban rail transit train operation , the establishment of a mathematical model of the train running , and on this basis , the proposed prediction model, constraints of the model train operation adjustment and optimize performance indicators . Combined with optimization objectives , the correction coefficients in the model , Interior Point Methods for control Optimized Calculation , combined with the actual characteristics of the adjustment , two rolling window and recursive optimization reduces the calculation time to meet the adjusted real-time requirements . Finally, Beijing Yizhuang subway line background build a simulation platform . According to the the Beijing Yizhuang subway line line data and operations , train in a variety of different late case simulation . Adjust the controller parameters basic principles of design through simulation experiments , the experimental results show that the papers created automatically adjust the model predictive control algorithm has a higher effectiveness and real-time .

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CLC: > Transportation > Rail transport > Rail transport management projects > Organization of train > Planning and adjustment of the daily rail transport
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