轴辐式城市地铁-货运系统网络布局优化

doi:10.16182/j.issn1004731x.joss.20-0196

系统仿真学报 ›› 2021, Vol. 33 ›› Issue (7): 1699-1712.doi: 10.16182/j.issn1004731x.joss.20-0196

轴辐式城市地铁-货运系统网络布局优化

任睿¹, 胡万杰^2,*, 董建军³, 陈志龙^1,2

1.陆军工程大学国防工程学院,江苏南京 210001;
2.北京工业大学建筑工程学院,北京 100124;
3.南京工业大学土木工程学院,江苏南京 211800

收稿日期:2020-04-22 修回日期:2020-06-07 出版日期:2021-07-18 发布日期:2021-07-20
通讯作者: 胡万杰(1995-),男,博士生,研究方向为城市地下空间与地下物流系统规划设计。E-mail：steve_hu@emails.bjut.edu.cn
作者简介:任睿(1985-),女,博士,讲师,研究方向为防护工程。E-mail：renrui0801@163.com
基金资助:
国家自然科学基金(71631007,71601095,71971214)

Optimization of Urban Metro-based Underground Logistics System Network with Hub-and-Spoke Layout

Ren Rui¹, Hu Wanjie^2,*, Dong Jianjun³, Chen Zhilong^1,2

1. College of Defense Engineering, Army Engineering University of PLA, Nanjing 210001, China;
2. College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China;
3. College of Civil Engineering, Nanjing Tech University, Nanjing 211800, China

Received:2020-04-22 Revised:2020-06-07 Online:2021-07-18 Published:2021-07-20

摘要/Abstract

摘要： 依托大都市地铁实现乘客通勤与地下物流的双重应用是应对交通拥堵的卓越途经。针对一类轴辐式地铁-货运系统(Metro-based ULS,M-ULS)网络,提出三阶段布局优化方法。根据货流单一性、订单优先级和区域可达性指标,建立熵权-TOPSIS模型筛选地下货运流量;考虑设施容量约束,以建设运营成本为目标,构建网络选址-分配-路径组合优化模型;设计集合覆盖精确算法、自适应免疫克隆选择算法和Floyd-Warshall算法求解;基于南京市地理信息数据实现实景仿真。结果表明：该建模优化方法能够有效求得地铁货运网络的最佳配置方案,网络化运作的M-ULS系统能够大幅度地削减地面货运量,释放城市道路服务能力。

关键词: 城市物流, 地下物流系统, 地铁, 网络规划, 选址, 数学建模, 免疫算法

Abstract: Dual application of passenger commuting and underground logistics based on urban metro (M-ULS) provides a solution for traffic congestion. A three-stage optimization approach for the hub-and-spoke M-ULS network is proposed. An Entropy-TOPSIS model for underground flow screening was established based on indicators of freight flows unity, order priority and regional accessibility, considering facility capacity constraints, a location-allocation-routing combinatorial model with construction and operation costs objectives is proposed, Set Coverage Exact Algorithm, Adaptive Immunity Clone Selection Algorithm and Floyd-Warshall Algorithm are developed. Geographic information statistics of Nanjing is applied as the benchmark for real-world simulation. Results show that the modeling and optimization method can be applied to obtain the best configurations schemes of M-ULS network with high efficiency. M-ULS system with networked operations can significantly reduce the road freight traffic and enhance the urban road service capacity.

Key words: city logistics, underground logistics system, metro, network planning, location, mathematical modeling, immune algorithm

中图分类号:

U121
TP391

任睿, 胡万杰, 董建军, 陈志龙. 轴辐式城市地铁-货运系统网络布局优化[J]. 系统仿真学报, 2021, 33(7): 1699-1712.

Ren Rui, Hu Wanjie, Dong Jianjun, Chen Zhilong. Optimization of Urban Metro-based Underground Logistics System Network with Hub-and-Spoke Layout[J]. Journal of System Simulation, 2021, 33(7): 1699-1712.

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轴辐式城市地铁-货运系统网络布局优化

Optimization of Urban Metro-based Underground Logistics System Network with Hub-and-Spoke Layout

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