Automatic Identification and Optimization Algorithm of Existing Railway Planar Feature Points

Abstract:

In order to achieve the reconstruction of existing horizontal railway alignments, automatic identification model and optimization algorithm for existing railway planar feature points are proposed. Firstly total least square method of constraint adjustment quantity is proposed, based on which, automatic identification model is built. Then an evaluation function with the radius of circular curve and the lengths of two transition curves as parameters is presented. Based on the direction acceleration method, a reconstruction optimization algorithm is proposed to optimize this ternary implicit function. The proposed model and algorithm can realize the automatic fitting of measuring points and the optimal localization of planar feature points. Example shows that the reconstruction result is considerably superior to the traditional method and is feasible for the engineering practice.

• Periodical: Advanced Materials Research (Volumes 779-780)
• Pages: 894-898
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.779-780.894
• Online since: September 2013
• Authors: Wei Liu, Hao Pu, Wei Li, Hai Feng Zhao
• Keywords: Automatic Identification Model, Direction Acceleration Method, Existing Railway, Planar Feature Point, Reconstruction, Total Least Squares

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