Simulation of energy-efficient operation for metro trains: A discrete event-driven method based on multi-agent theory-Reference-Cited by-同舟云学术

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Simulation of energy-efficient operation for metro trains: A discrete event-driven method based on multi-agent theory

Published:2023-01 Issue: Volume:609 Page:128325
ISSN:0378-4371
Container-title:Physica A: Statistical Mechanics and its Applications
language:en
Short-container-title:Physica A: Statistical Mechanics and its Applications

Author:

Yang Xingxing,Li Yang,Guo Xin^ORCID,Ding Meiling,Yang Jingxuan

Publisher

Elsevier BV

Subject

Statistical and Nonlinear Physics,Statistics and Probability

Reference40 articles.

1. China Urban Rail Transit Association Statistics and Analysis Report of Urban Rail Transit in 2020,2021

2. Short-term prediction of passenger volume for urban rail systems: A deep learning approach based on smart-card data;Xin Yang;Int. J. Prod. Econ.,2021

3. A novel prediction model for the inbound passenger flow of urban rail transit;Xin Yang;Inf. Sci.,2021

4. Coupling analysis of passenger and train flows for a large-scale urban rail transit system;Ping Zhang;Front. Eng. Manag.,2022

5. Research on train operation capacity based on cellular model;Hou;J. Beijing Jiaotong Univ.,2014

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. State-dependent multi-agent discrete event simulation for urban rail transit passenger flow;Physica A: Statistical Mechanics and its Applications;2024-10

2. Real-Time Optimization of Urban Rail Transit Train Scheduling via Advantage Actor–Critic Deep Reinforcement Learning;Journal of Transportation Engineering, Part A: Systems;2024-09

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