Analysis of ATO System Operation Scenarios Based on UPPAAL and the Operational Design Domain

Meng, Zicong; Tang, Tao; Wei, Guodong; Liu, Yuan

doi:10.3390/electronics10040503

Cited by 12 publications

(8 citation statements)

References 23 publications

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“…The next step was to conduct field tests at the ETCS National Integration Facility and finally operational tests on the Thameslink route itself. [9] In [10] the authors are proposing an operational design domain (ODD) for a Chinese highspeed main line ATO system. The paper focuses on model validation and is including a case study of the linkage scenario between train doors and platform doors to extract system requirements.…”

Section: Current State-of-the-art Ato Test Methodsmentioning

confidence: 99%

Measures and Methods for the Evaluation of ATO Algorithms

Bochmann¹,

Jaekel²

2022

Preprint

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There is increasing interest in automating train operations of mainline services, e.g. to increase network capacity. Automatic train operation (ATO) is already achieved by several pilot projects, but not implemented on a large scale. Before the general introduction of new or adapted technologies can have a transformative effect on the operation of such a complex system as train operation on mainlines, they have to pass functional, interoperability and performance tests. A virtual preliminary analysis is one way to ensure a smooth as well as safe introduction and implementation. This paper aims to present an approach that applies to the performance testing of ATO systems. Therefore, methods and test standards for technologies enabling automatic operation in other transport sectors are reviewed. The main findings have been adapted, transformed and combined to be used as a general strategy for virtual performance testing in the railway sector. Specifically, universal performance indicators, namely punctuality, accuracy, energy consumption, safety and comfort, are presented. A layer model for scenario description is adapted from the automotive sector, as well as the definition of different scenario types. Lastly, factors that can influence the performance of an ATO algorithm are identified. To demonstrate the developed approach, a straightforward investigation of a case study is conducted using a microscopic train simulator in combination with an ATO algorithm.

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Section: Current State-of-the-art Ato Test Methodsmentioning

confidence: 99%

Measures and Methods for the Evaluation of ATO Algorithms

Bochmann¹,

Jaekel²

2022

Preprint

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“…Where RI is a random consistency index, and the value of RI is related to the order of the judgment matrix. CI is a consistency index, and the calculation formula of CI is shown in (5).…”

Section: Model Of Ahpmentioning

confidence: 99%

“…This division separates scenarios into two categories: dynamic traffic scenarios and static traffic scenarios. Meng 5 has introduced the concept of ODD into the realm of train control systems. In this context, the operational scenarios of the Automatic Train Operation (ATO) system are delineated by ODD.…”

Section: Introductionmentioning

confidence: 99%

Research on extraction method of new type of train control system operation scenario elements in special environments

Huang,

Yuan,

Wei

2023

Advances in Mechanical Engineering

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At present, the construction of high-speed railway in the western region has become one of the key points in China. However, the existing train control systems do not adapt to the environment. So a new type of train control system (TCS-NT) is proposed. However, for TCS-NT, the definition and content of its operating scenarios are not clear, and the construction of operating scenarios is mostly involves subjective analysis. It faces problems such as a lack of a comprehensive operating environment analysis method, a method for selecting scenario elements for varying test requirements, and inexplicable design choices. In this paper, the Operational Design Domain (ODD) and a key element extraction method for simulation scenarios are proposed to analyze the operational environment of the TCS-NT. Using this method, the impact of each scenario element on the sub-functions is sequentially analyzed in the tracking operation scenario of the TCS-NT. According to the influence on each sub-function, a mapping equation is constructed for the three-dimensional plane comprising element, structure, and function, and scenario elements are extracted using the discriminant matrix. In this paper, the method is used to analyze the operation scenario in the train tracking scene, and the feasibility of the method is verified.

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“…ATC consists of three subsystems: automatic train protection (ATP), automatic train operation (ATO), and automatic train supervision (ATS). The main function of ATO is to adjust the traction or brake force of the train in real time according to different train operation conditions to ensure the control of train operation speed so that the train can track the desired train operation curve smoothly and accurately [24,25].…”

Section: Automatic Train Operationmentioning

confidence: 99%

Optimization of Urban Rail Automatic Train Operation System Based on RBF Neural Network Adaptive Terminal Sliding Mode Fault Tolerant Control

Yang

Zhang

Jin

2021

ASI

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Aiming at the problem of the large tracking error of the desired curve for the automatic train operation (ATO) control strategy, an ATO control algorithm based on RBF neural network adaptive terminal sliding mode fault-tolerant control (ATSM-FTC-RBFNN) is proposed to realize the accurate tracking control of train operation curve. On the one hand, considering the state delay of trains in operation, a nonlinear dynamic model is established based on the mechanism of motion mechanics. Then, the terminal sliding mode control principle is used to design the ATO control algorithm, and the adaptive mechanism is introduced to enhance the adaptability of the system. On the other hand, RBFNN is used to adaptively approximate and compensate the additional resistance disturbance to the model so that ATO control with larger disturbance can be realized with smaller switching gain, and the tracking performance and anti-interference ability of the system can be enhanced. Finally, considering the actuator failure and the control input limitation, the fault-tolerant mechanism is introduced to further enhance the fault-tolerant performance of the system. The simulation results show that the control can compensate and process the nonlinear effects of control input saturation, delay, and actuator faults synchronously under the condition of uncertain parameters, external disturbances of the system model and can achieve a small error tracking the desired curve.

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Analysis of ATO System Operation Scenarios Based on UPPAAL and the Operational Design Domain

Cited by 12 publications

References 23 publications

Measures and Methods for the Evaluation of ATO Algorithms

Measures and Methods for the Evaluation of ATO Algorithms

Research on extraction method of new type of train control system operation scenario elements in special environments

Optimization of Urban Rail Automatic Train Operation System Based on RBF Neural Network Adaptive Terminal Sliding Mode Fault Tolerant Control

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