An improved Q-learning algorithm is proposed to generate speed curve of the heavy haul trains, taking energy consumption and running time as the optimization ...

An improved Q-learning algorithm is proposed to generate speed curve of the heavy haul trains, tak- ing energy consumption and running time as the optimization.

Research on Energy-Saving Speed Curve of Heavy Haul Train Based on Reinforcement Learning · Wei Zhang, Xubin Sun, +1 author. Liu Yang · Published in IEEE 26th ...

Oct 22, 2024 · [15] proposes a reinforcement learning method for multi-objective speed trajectory optimization to simultaneously achieve energy efficiency, ...

Feb 29, 2020 · This paper proposes a reinforcement learning (RL) approach for the optimal control of multiple electric locomotives in a heavy-haul freight train.

Aug 30, 2024 · This paper proposes a proximal policy optimization based safety reinforcement learning framework (S-PPO) for the train trajectory optimization.

This paper presents an intelligent control method based on the Deep-Q-Network (DQN) algorithm for the heavy haul train running on the long and steep downhill ...

The driving safety of heavy-haul train is affected by the train's traction weight, the length of train, the line profile, the line speed limit, ...

The driving safety of heavy-haul train is affected by the train's traction weight, the length of train, the line profile, the line speed limit, ...

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