Automatic Train Control System Development and Simulation for High-Speed Railways

Dong, Hairong; Ning, Bin; Cai, Baigen; Hou, Zhongsheng

doi:10.1109/mcas.2010.936782

Cited by 324 publications

(100 citation statements)

References 38 publications

(37 reference statements)

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“…According to the assumption mentioned above, train disturbance occurs at direct link (12,14) at the beginning of interval 7. That is, the impedance of path 2 is suddenly increased.…”

Section: Results Analysismentioning

confidence: 99%

“…The value of parameters , , , and c are set to 2, 1.5, 1.5, and 200, respectively. Assume that train disturbance occurs at direct link (12,14) at time interval 7, which causes a 15-minute train delay. To obtain the solution for the given case, the proposed model and Frank-Wolfe algorithm are implemented in a personal computer with 4.00 GB Memory and an Intel Core i5 processor.…”

Section: Experiments In a Practicalmentioning

confidence: 99%

“…In fact, with the continuous increase in passenger volume in URT, the frequency of train operation disturbance also increases [14][15][16]. To retain the advantage of DUO models, passengers' reaction to the disturbance should be considered.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Enhanced Dynamic User Optimal Passenger Flow Assignment Model for Metro Networks

Pan

Liu

2017

Discrete Dynamics in Nature and Society

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By considering the difference between a car driver's route choice behavior on the road and a passenger's route choice behavior in urban rail transit (URT), this paper proposes an enhanced Dynamic User Optimal (DUO) passenger flow assignment model for metro networks. To capture realistic URT phenomena, the model has integrated the train operation disturbance constraint. Real passenger and train data are used to verify the proposed model and algorithm. The results indicate that the DUO-based model is more suitable for describing passenger route choice behavior under uncertain conditions compared to a static model. Moreover, this paper found that passengers under oversaturated conditions are more sensitive to train operation disturbances compared to undersaturated passengers.

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“…According to the assumption mentioned above, train disturbance occurs at direct link (12,14) at the beginning of interval 7. That is, the impedance of path 2 is suddenly increased.…”

Section: Results Analysismentioning

confidence: 99%

Section: Experiments In a Practicalmentioning

confidence: 99%

See 1 more Smart Citation

An Enhanced Dynamic User Optimal Passenger Flow Assignment Model for Metro Networks

Pan

Liu

2017

Discrete Dynamics in Nature and Society

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“…It described a train trajectory optimization study considering the tradeoff between reductions in train energy usage against increases in the delay penalty in a delay situation with a fixed block signaling system, and a multitrain simulator was developed for the study. Reference [3] developed high-speed railway systems; the system described the automatic control system. In China, much research is focused on development of simulation tools, but most of it is mainly concerned with determining the simulated train operation paths [4][5][6][7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

A High-Speed Train Operation Plan Inspection Simulation Model

Yang

Mou

Jiang

2018

Mathematical Problems in Engineering

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We developed a train operation simulation tool to inspect a train operation plan. In applying an improved Petri Net, the train was regarded as a token, and the line and station were regarded as places, respectively, in accordance with the high-speed train operation characteristics and network function. Location change and running information transfer of the high-speed train were realized by customizing a variety of transitions. The model was built based on the concept of component combination, considering the random disturbance in the process of train running. The simulation framework can be generated quickly and the system operation can be completed according to the different test requirements and the required network data. We tested the simulation tool when used for the real-world Wuhan to Guangzhou high-speed line. The results showed that the proposed model can be developed, the simulation results basically coincide with the objective reality, and it can not only test the feasibility of the high-speed train operation plan, but also be used as a support model to develop the simulation platform with more capabilities.

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“…Failure to satisfy these constraints can result in economic losses or, even worse, human lives can be endangered in cases when these failures affect safety mechanisms. Notable examples of such applications (often built on top of cyber-physical systems) are process-control and emergencymanagement applications in the oil and gas industry [1], realtime detection of pollutants in the water/wastewater industry [2], vehicle-collision avoidance in car industry [3], automatic train control [4], process control in chemical industry [5], state estimation in smart grid [6], high-frequency trading [7] and distributed online gaming [8].…”

mentioning

confidence: 99%

iPRP—The Parallel Redundancy Protocol for IP Networks: Protocol Design and Operation

Popović

Mohiuddin

Tomozei

et al. 2016

IEEE Trans. Ind. Inf.

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Abstract-Reliable packet delivery within stringent delayconstraints is of paramount importance to mission-critical computer applications with hard real-time constraints. Because retransmission and coding techniques counteract the delay requirements, reliability may be achieved through replication over multiple fail-independent paths. Existing solutions, such as the parallel redundancy protocol (PRP), replicate all packets at the MAC layer over parallel paths. PRP works best in local area networks. However, it is not viable for IP networks that are a key element of emerging mission-critical systems. This limitation, coupled with diagnostic inability and lack of security, renders PRP unsuitable for reliable data-delivery in these IP networks. To address this issue, we present a transport-layer solution: the IP parallel redundancy protocol (iPRP). Designing iPRP poses non-trivial challenges in the form of selective packetreplication, soft-state and multicast support. iPRP replicates only time-critical unicast or multicast UDP traffic. iPRP requires no modifications to the existing monitoring application, end-device operating system or to the intermediate network devices. It only requires a simple software installation on the end-devices. iPRP has a set of diagnostic tools for network debugging. With our implementation of iPRP in Linux, we show that iPRP supports multiple flows with minimal processing-and-delay overhead. It is being installed in our campus smart-grid network and is publicly available. I. INTRODUCTIONSpecific mission-critical computer applications have hard delay-constraints. Failure to satisfy these constraints can result in economic losses or, even worse, human lives can be endangered in cases when these failures affect safety mechanisms. Notable examples of such applications (often built on top of cyber-physical systems) are process-control and emergencymanagement applications in the oil and gas industry Reliable and timely packet delivery, even in the order of 10 ms, is of utmost importance in satisfying the hard-delay constraints. The classic approaches to reliable communication through coding and retransmission are not compatible with the hard delay-constraints. An alternative is to achieve reliability through replication over multiple fail-independent paths, which is the focus of this paper. More precisely, we present a solution for packet-replication over multiple paths in IP networks. Indeed, as we discuss next, existing solutions apply to MAClayer networks and cannot be transposed to IP networks that are a requirement for many of the aforementioned applications.

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Automatic Train Control System Development and Simulation for High-Speed Railways

Cited by 324 publications

References 38 publications

An Enhanced Dynamic User Optimal Passenger Flow Assignment Model for Metro Networks

An Enhanced Dynamic User Optimal Passenger Flow Assignment Model for Metro Networks

A High-Speed Train Operation Plan Inspection Simulation Model

iPRP—The Parallel Redundancy Protocol for IP Networks: Protocol Design and Operation

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