Investigating Market Potentials and Operational Scenarios of Virtual Coupling Railway Signaling

Aoun, Joelle; Quaglietta, Egidio; Goverde, Rob M.P.

doi:10.1177/0361198120925074

Cited by 45 publications

(24 citation statements)

References 2 publications

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“…The coasting strategy presented in Section III.C is applied to reduce the MPC frequency regulation, and the result is shown in Figs. 7. The velocity error and clearance error change little under the coasting strategy.…”

Section: B Performance Of the Vctf Considering Speed Changes In The mentioning

confidence: 95%

“…According to Eqs. (1) and ( 5), the state-space equation of train i is constructed as follows: (6) where = [∆ ∆ ] and = −1 ; , , , and Z represent the system coefficient matrix and can be described as (7) An integral is introduced into the state-space equation to eliminate the static error. Eq.…”

Section: B Multitrain Virtually Coupled Motion Modelmentioning

confidence: 99%

“…In recent years, shift2Rail has proposed virtual connectivity as one of the most critical innovations in the next generation of signal systems. The application and market potential of virtual connections have been analyzed in [7]. For tracking safety of close-range train unit formation, [8] proposed a topological manifold-based monitoring method and derived safety monitoring theorems to ensure virtual coupling control logic safety.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Virtually Coupled Metro Train Platoon Control Approach Based on Model Predictive Control

Gao

Tang

2021

IEEE Access

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In this paper, a virtually coupled train formation (VCTF) control method based on the model predictive control (MPC) framework is proposed. The train track spacing error, velocity error, and riding comfort are chosen as the optimization goals, and the constraints of line speed, collision avoidance of the train platoon, traction/braking performance, and string stability are considered. The virtual coupling operation control problem is converted into a quadratic programming problem with constraints. This paper also proposes a coasting control strategy to improve the output of the MPC controller. Simulation results show that compared with the proportional derivative controller, the proposed control method can simultaneously reduce the tracking error and output acceleration, reducing running energy consumption. A study of a metro line is chosen to analyze the VCTF operation performance, and the simulation results show that the VCTF operation mode can improve the peak capacity and quality of service of flat hours compared with the communication-based train control operation mode. INDEX TERMSVirtually coupled, metro train platoon, model predictive control.

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Section: B Performance Of the Vctf Considering Speed Changes In The mentioning

confidence: 95%

Section: B Multitrain Virtually Coupled Motion Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Virtually Coupled Metro Train Platoon Control Approach Based on Model Predictive Control

Gao

Tang

2021

IEEE Access

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“…Preliminary operational characteristics (e.g., train compositions, onboard customer facilities, train platforming and crowd management, power supply, and convoy control) corresponding to different railway markets were investigated in MovingRail [18]. Compared with other markets, the regional and freight markets may be more interested in VC because they urgently need to increase the current train frequency despite the expensive reconstruction and operating costs [34]. For high-speed railways with high-density passenger services, VC can also bring huge capacity growth to some potential cases, e.g., trains consecutively overtaking at a station, passing through a junction or a station.…”

Section: Review Of Train Organization Under Vc Systemmentioning

confidence: 99%

Multiscenario-Based Train Headway Analysis under Virtual Coupling System

Pan

Peng

Shou-yi

et al. 2021

Journal of Advanced Transportation

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Chinese high-speed railway has implemented large-scale network operation with an urgent need for capacity improvement. The concept of virtual coupling seems to be a promising solution that provides a new operational scenario for high-speed railway, where trains are formed into a cooperative convoy and run synchronously with small train headways. The train-following principles under the virtual coupling signalling are quite different from those under conventional train control systems. Therefore, train headway analysis for different operational scenarios should be carried out to ensure railway safety and evaluate capacity benefits brought by virtual coupling. This paper proposes a potential virtual coupling architecture with reference to ETCS/ERTMS specifications. We compare blocking time models under different train control systems, and eight typical train-following scenarios are investigated for virtual coupling, including train arrival and departure cases. A detailed multiscenario-based train headway analysis is provided based on the microscopic infrastructure of the station and technological characteristics of virtual coupling. All computational outcomes are based on the train dynamic motion model. A comparative analysis of train headways under virtual coupling and CTCS-3 is provided in the case study. Results show that train headways can be substantially reduced under virtual coupling and are related to the station infrastructure layout.

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“…To shorten the dwell times of trains, Su et al used integrating timetables and a regulation approach to optimize the efficiency of subway line [9,10]. One of the main challenges in virtual coupling is to couple trains quickly and efficiently at merging junctions [11]. It is urgent to improve the efficiency of the whole travel process.…”

Section: Introductionmentioning

confidence: 99%

Optimized Control of Virtual Coupling at Junctions: A Cooperative Game-Based Approach

et al. 2021

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Recently, virtual coupling has aroused increasing interest in regard to achieving flexible and on-demand train operations. However, one of the main challenges in increasing the throughput of a train network is to couple trains quickly at junctions. Pre-programmed train operation strategies cause trains to decelerate or stop at junctions. Such strategies can reduce the coupling efficiency or even cause trains to fail to reach coupled status. To fill this critical gap, this paper proposes a cooperative game model to represent train coupling at junctions and adopts the Shapley theorem to solve the formulated game. Due to the discrete and high-dimensional characteristics of the model, the optimal solution method is non-convex and is difficult to solve in a reasonable amount of time. To find optimal operation strategies for large-scale models in a reasonable amount of time, we propose an improved particle swarm optimization algorithm by introducing self-adaptive parameters and a mutation method. This paper compares the strategy for train coupling at junctions generated by the proposed method with two naive strategies and unimproved particle swarm optimization. The results show that the operation time was reduced by using the proposed cooperative game-based optimization approach.

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Investigating Market Potentials and Operational Scenarios of Virtual Coupling Railway Signaling

Cited by 45 publications

References 2 publications

A Virtually Coupled Metro Train Platoon Control Approach Based on Model Predictive Control

A Virtually Coupled Metro Train Platoon Control Approach Based on Model Predictive Control

Multiscenario-Based Train Headway Analysis under Virtual Coupling System

Optimized Control of Virtual Coupling at Junctions: A Cooperative Game-Based Approach

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