Collaborative optimization for metro train scheduling and train connections combined with passenger flow control strategy

火车 车头时距 地铁列车时刻表 整数规划 计算机科学 调度(生产过程) 拉格朗日松弛 数学优化 最优化问题 工程类 运筹学 模拟 运营管理 地图学 数学 算法 操作系统 地理
作者
Renming Liu,Shukai Li,Lixing Yang
出处
期刊:Omega [Elsevier BV]
卷期号:90: 101990-101990 被引量:134
标识
DOI:10.1016/j.omega.2018.10.020
摘要

Abstract For high-frequency metro lines, the excessive travel demand during the peak hours brings a high risk to metro system and a low comfort to passengers, so it is important to consider passenger flow control when designing the metro train scheduling strategy. This paper presents a collaborative optimization method for metro train scheduling and train connections combined with passenger control strategy on a bi-directional metro line. Specifically, the dynamic equations for the train headway and train passenger loads along the metro line, the turnaround operations and the entering/exiting depot operations are considered simultaneously. The proposed collaborative optimization problem is formulated as a mixed integer nonlinear programming model to realise the trade-off among the utilization of trains, passenger flow control strategy and the number of awaiting passengers at platforms, which is further reformulated into mixed integer linear programming (MILP) model. To handle the complexity of this MILP model, a Lagrangian relaxation-based approach is designed to decompose the original problem into two small subproblems, which reduces the computational burden of the original problem and can efficiently find a good solution of the train schedule and train connections problem combined with passenger flow control strategy. The numerical experiments are implemented to investigate the effectiveness of the proposed model and approach, which shows that the proposed model is not sensitive to uncertain passenger demand. Under the proposed collaborative optimization approach, the number of train service connections and the crowding inside stations and carriages with the proper passenger flow control strategy can be evidently balanced, and thereby the operation efficiency and safety of the metro lines are effectively improved.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Amanda发布了新的文献求助10
1秒前
1111完成签到 ,获得积分10
2秒前
Fox完成签到 ,获得积分10
2秒前
2秒前
2秒前
qiaqiaqia完成签到,获得积分10
4秒前
4秒前
4秒前
mumu发布了新的文献求助50
4秒前
田様应助315947采纳,获得10
5秒前
5秒前
xiongqi完成签到,获得积分10
5秒前
小豆豆应助尊敬的扬采纳,获得10
5秒前
6秒前
XXXX发布了新的文献求助10
6秒前
凯凯发布了新的文献求助10
6秒前
qiaqiaqia发布了新的文献求助10
6秒前
赘婿应助www采纳,获得10
7秒前
7秒前
ttlash发布了新的文献求助10
7秒前
123fordream完成签到,获得积分10
8秒前
天天快乐应助二十五采纳,获得10
8秒前
8秒前
无辜玉米完成签到,获得积分10
9秒前
酷波er应助舒适的尔容采纳,获得10
10秒前
10秒前
10秒前
10秒前
Li发布了新的文献求助10
10秒前
Amanda完成签到,获得积分10
10秒前
淡然雪枫发布了新的文献求助10
10秒前
11秒前
梦梦发布了新的文献求助10
11秒前
11秒前
只吃饭不洗碗完成签到,获得积分10
11秒前
NexusExplorer应助YU采纳,获得10
11秒前
NexusExplorer应助飞云采纳,获得10
12秒前
LR发布了新的文献求助10
12秒前
多情的正豪完成签到,获得积分10
12秒前
Lucas发布了新的文献求助30
12秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Technical Brochure TB 814: LPIT applications in HV gas insulated switchgear 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Picture Books with Same-sex Parented Families: Unintentional Censorship 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3969383
求助须知:如何正确求助?哪些是违规求助? 3514211
关于积分的说明 11172730
捐赠科研通 3249476
什么是DOI,文献DOI怎么找? 1794909
邀请新用户注册赠送积分活动 875441
科研通“疑难数据库(出版商)”最低求助积分说明 804827