A method for optimization of subway speed curve based on coasting-constant speed

Abstract

The invention discloses a subway speed curve optimization method based on coasting-constant speed. Firstly, train running information is obtained; then, according to the train running information, the train's maximum capacity speed curve, minimum running time and available surplus time are obtained; and the starting point of the constant speed boundary as the origin, move the idle point and the constant speed point with a set step on the maximum capacity speed curve, and calculate the available margin time according to the end point of the idle boundary and the end point of the constant speed boundary; finally, when the available margin time When the consumption is complete, select the curve output with the least energy consumption according to the energy consumption of each curve. The present invention can calculate and obtain the most energy-saving speed curve of the train under any given time required by the timetable, which minimizes the requirement of the method for the given time of the timetable, and realizes the energy-saving operation of the train under the requirement.

Description

Technical field [0001] The present invention relates to the field of rail transit, and more particularly to a subway velocity curve optimization method based on an idiom-constant speed. Background technique [0002] In the prior art, the use of the idirant row search method makes the energy saving speed curve, the error is small, and the error is small, and the optimization accuracy of the running speed of urban rail transit trains is effectively improved. Through the adjustability of the speed of the train speed curve, and the use of idirant The starting point advances can be customized. In the range of time errors, increase the promotion steps, improve the solution speed, the above design can achieve energy-saving train operations and operating conditions and operating conditions Solve, but the latent row search model has the upper limit requirements of the interval run time. Once the given interval running time exceeds the upper limit, the speed curve that satisfies the urban ...

AI Technical Summary

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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