Intelligent Resource Allocation for Train-to-Train Communication: A Multi-Agent Deep Reinforcement Learning Approach
The application of train-to-train (T2T) communication in urban rail transit is expected to simplify system structure, reduce maintenance costs, and improve operational efficiency. In particular, train-to-wayside (T2W) communication coexist with T2T communication in the train control system based on...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8949541/ |