Layout Planning of Metro-based Underground Logistics System Network Considering Fuzzy Uncertainties

Authors

Wanjie Hu, 1.Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China;Follow
Jianjun Dong, 2.College of Civil Engineering, Nanjing Tech University, Nanjing 211800, China;Follow
Rui Ren, 3.College of Defense Engineering, Army Engineering University of PLA, Nanjing 210007, China;
Zhilong Chen, 3.College of Defense Engineering, Army Engineering University of PLA, Nanjing 210007, China;

Abstract

Abstract: Aming at the network design and optimization of metro-based urban underground logistics under uncertainties, the facility components of two-tier metro-based underground logistics system (M-ULS) are proposed. Focus on the comprehensive costs and system utilization rate, a M-ULS network flow assignment model is established based on the expectation of environmental benefits of underground freight transport. a M-ULS network location-allocation-routing fuzzy random programming model is established, and a crisp linearization method is presented. A solution portfolio combining discrete binary chaos particle swarm optimization-genetic algorithm and exact algorithms is designed for combinatorial optimization. Effectiveness of the presented models and algorithms is verified in real-life cases. Results show that the best M-ULS layout schemes in fuzzy random scenarios are more conservative than those in deterministic scenarios. The external environment benefits of underground logistics can offset 10%~12% of costs in network construction and operations.

Recommended Citation

Hu, Wanjie; Dong, Jianjun; Ren, Rui; and Chen, Zhilong (2022) "Layout Planning of Metro-based Underground Logistics System Network Considering Fuzzy Uncertainties," Journal of System Simulation: Vol. 34: Iss. 8, Article 7.
DOI: 10.16182/j.issn1004731x.joss.21-0206
Available at: https://dc-china-simulation.researchcommons.org/journal/vol34/iss8/7

First Page

1725

Revised Date

2021-05-09

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.21-0206

Last Page

1740

CLC

TP391.9

Recommended Citation

Wanjie Hu, Jianjun Dong, Rui Ren, Zhilong Chen. Layout Planning of Metro-based Underground Logistics System Network Considering Fuzzy Uncertainties[J]. Journal of System Simulation, 2022, 34(8): 1725-1740.

Corresponding Author

Jianjun Dong,dongjj@njtech.edu.cn

DOI

10.16182/j.issn1004731x.joss.21-0206