A Hierarchical Framework for Passenger Inflow Control in Metro System With Reinforcement Learning-Reference-Cited by-同舟云学术

A Hierarchical Framework for Passenger Inflow Control in Metro System With Reinforcement Learning

Published:2023-10 Issue:10 Volume:24 Page:10895-10911
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Zhong Jiaming¹^ORCID,He Zhaocheng¹^ORCID,Wang Jiawei¹^ORCID,Xie Jiemin²^ORCID

Affiliation:

1. Guangdong Provincial Key Laboratory of Intelligent Transportation Systems and the Research Center of Intelligent Transportation System, Sun Yat-sen University, Guangzhou, China

2. Department of Civil Engineering, McGill University, Montreal, Canada

Funder

Joint Funds of the National Natural Science Foundation of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10271405/10127612.pdf?arnumber=10127612

Reference37 articles.

1. Robust metro train scheduling integrated with skip-stop pattern and passenger flow control strategy under uncertain passenger demands

2. Cooperative passenger inflow control of urban mass transit in peak hours;zhao;J TongJi Univ,2014

3. Capacity-oriented passenger flow control under uncertain demand: Algorithm development and real-world case study

4. How much can holding and/or limiting boarding improve transit performance?

5. Joint optimal train regulation and passenger flow control strategy for high-frequency metro lines

Cited by 1 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. Enhancing Safety in Mixed Traffic: Learning-Based Modeling and Efficient Control of Autonomous and Human-Driven Vehicles;IEEE Transactions on Intelligent Transportation Systems;2024-09