Subway speed curve optimization method based on coasting-constant speed

Abstract

The invention discloses a subway speed curve optimization method based on coasting-constant speed. The method comprises the following steps: firstly, acquiring train running information; then obtaining the maximum capacity speed curve, the minimum running time and the available surplus time of the train according to the running information of the train; then, starting points of the coasting boundary and the constant-speed boundary are taken as original points, a coasting point and a constant-speed point are moved on the maximum capacity speed curve according to a set step length, and calculating available surplus time according to an end point of the coasting boundary and an end point of the constant-speed boundary; and finally, when the available rich time is consumed, selecting the curve with the minimum energy consumption to output according to the energy consumption of each curve. According to the method, the most energy-saving speed curve of the train can be obtained through calculation under any given time required by the timetable, the requirement of the method for the given time of the timetable is reduced to the maximum extent, and energy-saving operation of the train is achieved under the requirement.

Description

technical field [0001] The invention relates to the field of rail transit, in particular to a method for optimizing a subway speed curve based on coasting-constant speed. Background technique [0002] In the prior art, the use of the idle search method makes the calculation time of the energy-saving speed curve short and the error is small, which effectively improves the optimization accuracy of the running speed of the urban rail transit train. By optimizing the speed adjustability of the train speed curve and using the idle The starting point advance step length can be customized. Within the allowable range of time error, increasing the advance step length can improve the solution speed. The above design can realize the fast operation of energy-saving train operating conditions and operating condition switching points on the basis of safety and punctuality. However, the idle search model adopted has an upper limit requirement for the running time of the interval. Once the ...

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Problems solved by technology

[0002] In the prior art, the use of the idle search method makes the calculation time of the energy-saving speed curve short and the error is small, which effectively improves the optimization accuracy of the running speed of the urban rail transit train. By optimizing the speed adjustability of the train speed curve and using the idle The starting point advance step length can be customized. Within the allowable range of time error, increasing the advance step length can improve the solution speed. The above design can realize the fast operation of energy-saving train operating conditions and operating condition switching points on the basis of safety and punctuality. However, the idle search model adopted has an upper limit requirement for the running time of the interval. Once the running time of a given interval exceeds the upper limit, the speed curve that meets the arrival requirements of urban rail trains cannot be calculated. Therefore, it is necessary to comprehensively consider the speed curve and station Inter-running time optimization, without changing the total running time, considering the combination of sub-intervals, further reducing traction energy consumption between multiple stations

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