Research and development of automatic train operation for railway transportation systems: A survey

Yin, Jianqin; Tang, Tao; Yang, Lixing; Xun, Jing; Huang, Yeran; Gao, Ziyou

doi:10.1016/j.trc.2017.09.009

Cited by 233 publications

(82 citation statements)

References 99 publications

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“…In accordance with Table. 1 the most effective option for the identified causes elimination is to strengthen the control over the technological operations progress. However, such an approach in the long term perspective is quite expensive compared to the other options, therefore, it is efficient to count on the technological processes regulation and ensuring the personnel competencies on the unconditional regulations implementation [11][12][13][14].…”

Section: транспортное происшествиеmentioning

confidence: 99%

Management and economic efficiency criteria in the organization of safe rail transportation

Kazanskaya

Shaykina

2020

E3S Web Conf.

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Ensuring safety in rail transportation is achieved by creating a certain management structure of the company, which contributes to the improvement of economic sustainability and organization of safe traffic. The analysis of indicators to assess the state of traffic safety in JSC “Uzbekistan Temir Yullari” (the object of the study) allowed the authors to formulate the purpose of the study, which is to develop algorithms for carrying out measures to ensure traffic safety on the basis of economic criteria of management efficiency. Following stages of planning as the analysis of indicators of safety and identification of problems, analysis of causes of the identified problems, development of ideas objectives, setting measurable goals, checking the achievement of objectives, developing options for action achieve the goals. For each stage on the basis of methods of correlation, regression and factor analysis algorithms of their carrying out are developed. The concept of measures is developed to improve the economic efficiency of traffic safety management, depending on the method of management. With the functional approach, the main direction of the plan is to strengthen control, and with the process approach-the regulation of technological processes and training of production personnel. The authors believe that the implementation of the proposed recommendations for decision - making on traffic safety is a comprehensive preventive measure to ensure a guaranteed level of safety, which will improve the overall economic efficiency of traffic safety management in the railway company.

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Section: транспортное происшествиеmentioning

confidence: 99%

Management and economic efficiency criteria in the organization of safe rail transportation

Kazanskaya

Shaykina

2020

E3S Web Conf.

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“…As you cannot calculate all the possible cases offline, evolutionary algorithms have some drawbacks. Furthermore, detailed reviews of the classical single-train control problem can be found in [1,17,18].…”

Section: Literature Reviewmentioning

confidence: 99%

An Online Energy-Saving Driving Strategy for Metro Train Operation Based on the Model Predictive Control of Switched-Mode Dynamical Systems

2020

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With the rapid development of urban rail transit systems and the consequent sharp increase of energy consumption, the energy-saving train operation problem has been attracting much attention. Extensive studies have been devoted to optimal control of a single metro train in an inter-station run to minimize the energy consumption. However, most of the existing work focuses on offline optimization of the energy-saving driving strategy, which still needs to be tracked in real train operation. In order to attain better performance in the presence of disturbances, this paper studies the online optimization problem of the energy-saving driving strategy for a single metro train, by employing the model predictive control (MPC) approach. Firstly, a switched-mode dynamical system model is introduced to describe the dynamics of a metro train. Based on this model, an MPC-based online optimization problem is formulated for obtaining the optimal mode switching times with minimal energy consumption for a single train in an inter-station run. Then we propose an algorithm to solve the constrained optimization problem at each time step by utilizing the exterior point penalty function method. The proposed online optimal train control algorithm which determines the mode switching times can not only improve the computational efficiency but also enhances the robustness to disturbances in real scenarios. Finally, the effectiveness and advantages of this online optimal train control algorithm are illustrated through case studies of a single train in an inter-station run.

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“…Other types of dynamic models (such as multi-point models) can be considered as optimized or expanded versions of this model. By ignoring the in-train force and assuming continuous control rates, the model can be formulated as [44]…”

Section: Parametric Based Train Dynamic Modelmentioning

confidence: 99%

Long Short-Term Memory Neural Network Applied to Train Dynamic Model and Speed Prediction

Tang

Gao

2019

Algorithms

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The automatic train operation system is a significant component of the intelligent railway transportation. As a fundamental problem, the construction of the train dynamic model has been extensively researched using parametric approaches. The parametric based models may have poor performances due to unrealistic assumptions and changeable environments. In this paper, a long short-term memory network is carefully developed to build the train dynamic model in a nonparametric way. By optimizing the hyperparameters of the proposed model, more accurate outputs can be obtained with the same inputs of the parametric approaches. The proposed model was compared with two parametric methods using actual data. Experimental results suggest that the model performance is better than those of traditional models due to the strong learning ability. By exploring a detailed feature engineering process, the proposed long short-term memory network based algorithm was extended to predict train speed for multiple steps ahead.

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Research and development of automatic train operation for railway transportation systems: A survey

Cited by 233 publications

References 99 publications

Management and economic efficiency criteria in the organization of safe rail transportation

Management and economic efficiency criteria in the organization of safe rail transportation

An Online Energy-Saving Driving Strategy for Metro Train Operation Based on the Model Predictive Control of Switched-Mode Dynamical Systems

Long Short-Term Memory Neural Network Applied to Train Dynamic Model and Speed Prediction

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