基于场景划分的常导高速磁浮辅助停车区布置优化

doi:10.13229/j.cnki.jdxbgxb20210410

吉林大学学报(工学版) ›› 2022, Vol. 52 ›› Issue (12): 2864-2873.doi: 10.13229/j.cnki.jdxbgxb20210410

• 交通运输工程·土木工程 • 上一篇下一篇

基于场景划分的常导高速磁浮辅助停车区布置优化

楚彭子^1,²(),虞翊²(),董丹阳²,林辉²,赵华华²

^1.同济大学道路与交通工程教育部重点实验室，上海 201804
^2.同济大学磁浮交通工程技术研究中心，上海 201804

收稿日期:2021-05-10 出版日期:2022-12-01 发布日期:2022-12-08
通讯作者: 虞翊 E-mail:cpz_myhk@163.com;12164@tongji.edu.cn
作者简介:楚彭子（1989-），男，博士研究生. 研究方向：列车运行控制与安全. E-mail：cpz_myhk@163.com
基金资助:
国家重点研发计划项目(2016YFB1200602-02);上海市科学技术委员会科研计划项目(18DZ1205803)

Layout optimization of auxiliary stopping areas for normal high⁃speed maglev based on scenario division

Peng-zi CHU^1,²(),Yi YU²(),Dan-yang DONG²,Hui LIN²,Hua-hua ZHAO²

^1.Key Laboratory of Road and Traffic Engineering，Ministry of Education，Tongji University，Shanghai 201804，China
^2.Maglev Transportation Engineering R&D Center，Tongji University，Shanghai 201804，China

Received:2021-05-10 Online:2022-12-01 Published:2022-12-08
Contact: Yi YU E-mail:cpz_myhk@163.com;12164@tongji.edu.cn

摘要/Abstract

摘要：

针对常导高速磁浮辅助停车区（ASA）布置过程中多样的需求因素与复杂的限制条件，着眼于以较少的辅助停车区来保障磁浮列车的安全运行，提出了基于场景划分的辅助停车区布置方法。首先，将辅助停车区布置的一般场景划分为列车运行方向、列车运行曲线、需求优先区段和需求限制区段，并构建优化模型。其次，以每个辅助停车区距离终点站尽量远为准则，剖析面向不同场景的优化规则，进而设计求解辅助停车区布置优化模型的启发式算法。最后，结合数值试验开展算例分析。结果表明，所提出方法能够快速获取可靠经济的布置方案。列车步进冗余时间的增加会增大辅助停车区需求。开展双方向辅助停车区的布置时，合理利用反方向辅助停车区有助于降低辅助停车区需求。

关键词: 磁浮交通, 辅助停车区, 场景划分, 行车安全, 成本节约

Abstract:

The layout process of auxiliary stopping areas （ASAs） for normal high-speed maglev is facing the challenges of various demands and complex constraints. Focusing on ensuring the safety of maglev train operation with fewer ASAs， a scenario division-based method for ASA layout was proposed. Firstly， the general scenarios of ASA layout were divided into train operation direction， train speed profile， demand priority section and demand restriction section， and the optimization models of ASA layout were constructed. Then， taking that each ASA is as far as possible from the terminal station as the criterion， the optimization rules for different scenarios were designed， and then a heuristic algorithm for solving the optimization model was proposed. Finally， numerical experiments were carried. The results illustrate that the proposed method can efficiently obtain reliable and economical layout schemes. The demand of ASAs increases as the train stepping redundancy time increases. When setting up ASAs for bidirectional operation， the demand for ASAs can reduce by using the ASAs in the opposite direction.

Key words: maglev transportation, auxiliary stopping area, scenario division, train safety, cost saving

中图分类号:

U237

楚彭子,虞翊,董丹阳,林辉,赵华华. 基于场景划分的常导高速磁浮辅助停车区布置优化[J]. 吉林大学学报(工学版), 2022, 52(12): 2864-2873.

Peng-zi CHU,Yi YU,Dan-yang DONG,Hui LIN,Hua-hua ZHAO. Layout optimization of auxiliary stopping areas for normal high⁃speed maglev based on scenario division[J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(12): 2864-2873.

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参考文献 15

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区段	起点位置/m	终点位置/m	坡度/%
1	0	5 300	0.000
2	5 300	6 130	0.302
3	6 130	6 300	0.450
4	6 300	6 970	-0.250
5	6 970	8 875	0.100
6	8 875	11 615	0.000
7	11 615	13 385	0.353
8	13 385	14 205	-0.369
9	14 205	19 315	0.000
10	19 315	20 025	4.117
11	20 025	23 635	-0.118
12	23 635	27 285	0.000
13	27 285	28 535	0.239
14	28 535	30 735	0.000
15	30 735	39 650	0.225
16	39 650	41 530	-0.432
17	41 530	42 880	-0.597
18	42 880	54 480	0.000
19	54 480	56 040	0.382
20	56 040	59 210	-0.689
21	59 210	61 140	0.312
22	61 140	63 500	0.000

区段	起点位置/m	终点位置/m	区段	起点位置/m	终点位置/m
1	5 100	5 500	10	28 335	28 735
2	5 930	7 170	11	30 535	30 935
3	8 675	10 306	12	31 600	32 600
4	11 415	11 815	13	39 450	39 850
5	13 185	13 585	14	41 330	43 080
6	14 005	14 405	15	52 000	53 100
7	19 115	20 225	16	54 280	54 680
8	23 435	23 835	17	55 840	59 410
9	27 085	27 485

[1]	赖晴鹰,刘军,赵若愚,骆泳吉,孟令云,徐亚之. 基于变间距动态规划的中高速磁悬浮列车速度曲线优化[J]. 吉林大学学报(工学版), 2019, 49(3): 749-756.
[2]	杨志发, 于卓, 管欣, 李世武. 道路景观对行车安全影响的仿真模型[J]. 吉林大学学报(工学版), 2010, 40(增刊): 179-0182.

基于场景划分的常导高速磁浮辅助停车区布置优化

Layout optimization of auxiliary stopping areas for normal high⁃speed maglev based on scenario division

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