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Volume 6, Issue 12 (December 2020)

Acbtc: Advanced Communication Based Train Control Using Deep Reinforcement Learning

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7.883
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Volume 12 Issue 07

July 2026

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Author(s)

K. T. Jayashree Dr. V. S. Anita Sofia

Abstract

High Unwavering Quality And Low Idleness Are Urgent For Metropolitan Rail Travels. In This Paper, We Present Correspondence Techniques For Advanced Correspondence Based Train Control (ACBTC) Frameworks Utilizing Long-term Evolution For Metro (LTE-M) To Im


Keywords

ACBTC T2T Communication Resilience AP Q-Learning MIMO MAHO

Paper ID

IJSARTV6I1241709

Publication Date

December 2, 2020

Research Area

CT

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