An improved variable step iteration model for the stop braking of urban rail transit
by Yang Wang, Hailong Bo, Bingyan Yu
International Journal of Modelling, Identification and Control (IJMIC), Vol. 13, No. 3, 2011

Abstract: The core of the problem in urban rail transit braking is the ascertainment of the braking point and the calculation of the braking distance. In order to fix the position of the braking point when the train pulled in the station by using the simulation more accurately and rapidly, the regular braking method was improved through breaking the recursive algorithm which took time as the step length, and the new model, which can confirm the braking point and the braking distance based on the speed difference value calculated by the train running distance as the step length, is put forward in this paper. The new model solves the problems such as large calculation amount and slow computing speed in the conventional variable iteration, and it plays an active role in the traction calculation software upgrade of urban rail traffic and automatic unmanned train technology.

Online publication date: Sat, 21-Mar-2015

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