Research On Optimization Design Method Of Existing Railway Correction Based On Ant Colony Algorithm

The steady operation of trains calls for track maintenance with high quality and high efficiency,while the cross & vertical sectionsare affected by running situation and the deformation of subgrade and other track structures,highly accurate survey techniques and corresponding track correction algorithm come as necessities to support the maintenance.The currently in use surveying techniques including track car can acquire the cross &vertical section data of existing tracks with high density and precision,the data provides reference not only for overall coordination and optimization,but for searching the optimal driving trajectory.With the excellent performance of Ant Colony Algorithm in spatial combination optimization combined,the ongoing thesis explores the overall design method of both cross & vertical sections,the work finished are listed as follows:(1)Establishment of overall design method based on Ant Colony Algorithm(plane curves)By using spatial curve fitting algorithm and curvature variation characteristics of plane curves,then with both rough & iteration exact segmentation combined,the curve elementsand coordinates of the initial intersections are determined.Divide all the initial intersection coordinates of existing tracks into grids,the optimal intersection combinations are obtained by applying ant colony optimization.Then by step-wisely narrowing the grids to obtain the optimal curve elements and track realignment volume that meet various constraint conditions,the overall optimization algorithm design of railway plane realignment is achieved.(2)Establishment of overall design method based on Ant Colony Algorithm(slopes of vertical sections)By using Augmented Lagrangian Multipliers and curvature variation characteristics of vertical curves,then with both rough & iteration exact segmentation combined,the curve elements and coordinates of the initial intersections are determined.Divide all the initial intersection coordinates of existing tracks into grids,the optimal intersection combinations are obtained by applying ant colony optimization.Then by step-wisely narrowing the grids to obtain the optimal curve elements and track lifting volume that meet various constraint conditions,the overall optimization algorithm design of railway profile realignment is achieved.(3)Application of Ant Colony Algorithm based on data obtained by track carThe data of a certain section of Lanzhou-Xinjiang Railway obtained by track car was applied to Ant Colony Algorithm to achieve the overall optimization design of both plane and vertical sections,the result shows that the algorithm surpasses traditional methods inacquiring optimal railway parameters,track lining and lifting volume,it can better meet track lifting constraint conditions in profile designing.