[1]刘琦,谢毅,胡新明,等.基于地质实体的铁路选线优化与决策模型设计[J].高速铁路技术,2022,13(05):1-4,19.[doi:10.12098/j.issn.1674-8247.2022.05.001]
LIU Qi,XIE Yi,HU Xinming,et al.Railway Route Optimization and Decision﹣making Model Design
Based on Geological Entities[J].HIGH SPEED RAILWAY TECHNOLOGY,2022,13(05):1-4,19.[doi:10.12098/j.issn.1674-8247.2022.05.001]
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基于地质实体的铁路选线优化与决策模型设计(
)
《高速铁路技术》[ISSN:1674-8247/CN:51-1730/U]
- 卷:
-
13卷
- 期数:
-
2022年05期
- 页码:
-
1-4,19
- 栏目:
-
理论探索
- 出版日期:
-
2022-10-01
文章信息/Info
- Title:
-
Railway Route Optimization and Decision﹣making Model Design
Based on Geological Entities
- 文章编号:
-
1674-8247(2022)05-0001-04
- 作者:
-
刘琦; 谢毅; 胡新明; 蒲浩; 吕希奎
-
(中铁二院工程集团有限责任公司， 成都610031)
- Author(s):
-
LIU Qi; XIE Yi; HU Xinming; PU Hao; LV Xikui
-
(China Railway Eryuan Engineering Group Co. ，Ltd. ，Chengdu 610031 ，China)
-
- 关键词:
-
遗传算法; 选线优化; 决策模型
- Keywords:
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genetic algorithm; route optimization; decision-making model
- 分类号:
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U212.32
- DOI:
-
10.12098/j.issn.1674-8247.2022.05.001
- 文献标志码:
-
A
- 摘要:
-
铁路选线设计是在三维空间决定线路位置的决策优化过程，特别是山区，河谷深切、构造复杂，不良
地质普遍发育。岩溶、顺层、滑坡、断层破碎带和崩塌等主要不良地质现象分布广泛，比选线路方案时对地质
因素考虑得最多，更加注重“地质选线”，地质因素往往成为线路方案取舍的决定因素。采用智能选线技术，
依据技术标准并考虑约束条件可自动生成经济、节能、环保、合理的线路优化方案，为此，本文就遗传算法的
基因编码、线路染色体、终止准则优化模型实施步骤开展设计。研究成果对指导西南山区铁路选线设计具有
重要的优化作用。
- Abstract:
-
Railway route design is a process of optimizing the decision made for railway location in 3D space.
Especially，in mountainous areas，where deep river valleys are deep，structures are complex，unfavorable geological
conditions are generally developed，and karst，bedding，landslide，fault fracture zone，collapse，and other unfavorable
geological conditions are widely distributed，geological factors are the most important factors to be considered during
route selection，and more attention will be paid to"geological consideration-based route selection". Geological factors
often become the decisive factors for the route selection of railway. By applying intelligent route selection technology，an
economical，energy-saving，eco-friendly and reasonable railway location optimization scheme can be generated
automatically according to technical standards and constraints. Therefore，this paper optimizes the model implementation
steps and designs the railway location according to the gene coding，route chromosome and termination criterion of
genetic algorithm. The research results of this paper can optimize the guidance on the route design of railway in southwest
mountainous areas.
参考文献/References:
［1］ 易思蓉. 铁路数字化选线设计系统的理论与方法［M］. 成都： 西
南交通大学出版社， 2011.
YI Sirong. Theory and Method of Design System of Railway Digital
Route Selection[M］.Chengdu：Southwest Jiaotong University Press，
2011.
［2］ 吕希奎， 陈进杰. 铁路数字化选线三维地质环境建模方法［J］.
铁道学报， 2015， 37(8)： 91 - 97.
LV Xikui，CHEN Jinjie. Three-Dimensional Geological Environment
Modeling Method for Digital Railway Alignment［J］. Journal of the
China Railway Society， 2015， 37(8)： 91 - 97.
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法［J］. 铁道科学与工程学报， 2012， 9(2)： 55 - 61.
PU Hao， ZHAO Haifeng， LI Wei. A 3D Spatial Intelligent Route
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［4］ 李伟， 蒲浩， 赵海峰， 等. 基于分步编码改进遗传算法的铁路智
能选线［J］. 西南交通大学学报， 2013， 48(5)： 831 - 838.
LI Wei， PU Hao， ZHAO Haifeng， et al. Intelligent Railway
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［5］ 韩瑞峰， 张永奎， 王逸凝， 等. 基于遗传算法的费托合成反应动
力学模型参数优化［J］. 燃料化学学报， 2001， 29(4)： 371 - 374.
HAN Ruifeng， ZHANG Yongkui， WANG Yining， et al. Optimization
of Parameters of Fts Kinetic Model by Genetic Algorithm［J］.
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371 - 374.
［6］ 刘江涛， 何娘者. 基于Google Earth 和BIM 的川藏铁路数字选线
应用研究［J］. 高速铁路技术， 2016，7(5)： 75 - 79.
LIU Jiangtao， HE Niangzhe. Application Study on Sichuan-Tibet
Railway Digitalizing Line Location Based on Google Earth and BIM
［J］. High Speed Railway Technology， 2016，7(5)： 75 - 79.
［7］ 陈进杰， 吕希奎. 高速铁路区间节能坡设计方法研究［J］. 铁道
学报， 2013， 35(12)： 83 - 89.
CHEN Jinjie， LV Xikui. Research on Method of Energy Saving
Gradient Design for High-Speed Railway Sections［J］. Journal of the
China Railway Society， 2013， 35(12)： 83 - 89.
［8］ WINKELR. On a Generalization of Bernstein Polynomials and Bézier
Curves Based on Umbral Calculus［J］. Computer Aided Geometric
Design， 2014， 31(5)： 227 - 244.
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备注/Memo
- 备注/Memo:
-
收稿日期：2022 -06 -30
作者简介：刘琦(1976 -)，男，高级工程师。
更新日期/Last Update:
2022-10-01