Numerical Study on Dynamic Programming Applied to Optimization of Running Profile of a Train

Ko, Hideyoshi; Koseki, Takafumi; Miyatake, Masafumi

doi:10.1541/ieejias.125.1084

Cited by 74 publications

(84 citation statements)

References 1 publication

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“…The optimal train operation consists of the maximum acceleration, reduced acceleration by degrees, coasting and maximum deceleration. In previous works [1,2], we obtained the similar optimization result. Therefore, these results indicate the reliability of the proposed method.…”

Section: Optimization Resultssupporting

confidence: 72%

“…However, from an energy-saving point of view, they did not deal enough with the optimality of the control of the devices. On the other hand, our previous works [1,2] was to optimize notch commands which determine the acceleration/deceleration force in the train without energy storage devices. We optimize notch commands together with charge/discharge commands with making use of the experience of our previous study.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Train operation minimizing energy consumption in DC electric railway with on-board energy storage device

Matsuda¹,

Ko²,

Miyatake³

2006

WIT Transactions on the Built Environment, Vol 88

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The optimal train operation which minimizes sum of supplied energy from substations is presented in this paper. In recent years, the energy storage devices have enough energy and power density to use in trains as on-board energy storage. The electric double layer capacitor (EDLC) is assumed as an energy storage device in our study, because of its high power density. The on-board storage can assist the acceleration/deceleration of the train and may decrease energy consumption. Many works on the application of the energy storage devices to trains were reported, however, they did not deal enough with the optimality of the control of the devices. On the other hand, our previous works were to optimize acceleration/deceleration commands of the train for minimizing energy consumption without the energy storage device. Therefore, we intend to optimize acceleration/deceleration commands together with current commands through energy storage devices as our next research target. The proposed method can determine the optimal acceleration/deceleration and current commands at every sampling point. For this purpose, the optimal control problem of the train operation is formulated mathematically. It is generally difficult to solve the problem because the problem is composed of a large-scale non-linear system. However, the Sequential Quadratic Programming (SQP) can be applied to solve the problem. Two results with and without on-board energy storage device are compared. These optimized results indicate that the total energy consumption is reduced by at least 0.35% by using the EDLC. The relation between internal resistance and energy consumption is also revealed.

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Section: Optimization Resultssupporting

confidence: 72%

Section: Introductionmentioning

confidence: 99%

Train operation minimizing energy consumption in DC electric railway with on-board energy storage device

Matsuda¹,

Ko²,

Miyatake³

2006

WIT Transactions on the Built Environment, Vol 88

View full text Add to dashboard Cite

show abstract

“…It is worth to note that the analytical methods often meet difficulties to find the analytic solution if more realistic conditions are considered that introduce complex nonlinear terms into the model equations and the constraints [25].…”

Section: B the Optimal Trajectory Planning With Continuous-inputmentioning

confidence: 99%

“…Ko et al [25] apply Bellman's dynamic programming to optimize the optimal reference trajectory. The original problem is then transformed into a multi-state decision process.…”

Section: B Dynamic Programmingmentioning

confidence: 99%

A survey on optimal trajectory planning for train operations

Wang

Ning

Cao

et al. 2011

Proceedings of 2011 IEEE International Conference on Service Operations, Logistics and Informatics

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Abstract-Because of the rising energy prices and environmental concerns, the calculation of energy-optimal reference trajectories for trains is significant for energy saving. On the other hand, with the development automatic train operation (ATO), the optimal trajectory planning is significant to the performance of train operation. In this paper, we present an integrated survey of this field. First, a nonlinear continuoustime train model and a continuous-space model of train operations are described, after which the optimal trajectory planning problem is formulated based on these two models. The various approaches in the literature to calculate the reference trajectory are reviewed and categorized into two groups: analytical solutions and numerical optimization. Finally, a short discussion of some open topics in the field of optimal trajectory planning for train operations are given.

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“…The optimization of operation style of a vehicle was studied to reduce energy consumed by using coasting abundantly in the run between stations [1]. Moreover, a research which plans energy reduction by adjusting operation of two or more trains is also advanced such as the CATO system [2].…”

Section: Introductionmentioning

confidence: 99%

Development of an energy efficient train traffic control system for saving electricity

Miyoshi

Takeba

Miyatake

2012

WIT Transactions on the Built Environment

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Although rail transportation is conventionally considered to be environmentallyfriendly, currently research is being carried out globally to find ways to improve energy-saving in rail transportation. Development of an energy management system for railways and new transport systems including the BRT (Bus Rapid Transit) system has begun. The railway energy management system manages and controls the use of energy for transportation as well as train operation.An EE (energy efficient) train traffic control system is being developed in order to reduce energy consumption in train traffic operation. This system is mainly useful for urban railways. The control system reduces consumed running energy by assigning several seconds of the scheduled margin times at platforms to inter-stations. While taking care about delay of the trains, the control system adjusts the arrival-and-departure time at stations without making passenger aware of the difference from the usual.The following methods can be considered in utilization; 1) drivers judge and lengthen the running time appropriately according to the train operation condition of routes; 2) the ground operation control device grasps train traffic conditions and decides the arrival time at the next station and then orders the time to each train using a ground-vehicle transmission system, while drivers operate according to the guidance by the on-board driving assistance equipment; 3) trains run with automatic train operation equipment according to the order from the ground operation control device.By computer simulation for typical urban transport lines, the evaluation of an EE train traffic control algorithm was carried out. As a result, it was confirmed that a 5% reduction of energy consumed is expected by assigning 5 seconds on average to the margin included in station stoppage time to the running time between stations.

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Numerical Study on Dynamic Programming Applied to Optimization of Running Profile of a Train

Cited by 74 publications

References 1 publication

Train operation minimizing energy consumption in DC electric railway with on-board energy storage device

Train operation minimizing energy consumption in DC electric railway with on-board energy storage device

A survey on optimal trajectory planning for train operations

Development of an energy efficient train traffic control system for saving electricity

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