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Research figure for A distributed deep reinforcement learning-based longitudinal control strategy for connected automated vehicles combining attention mechanism

A distributed deep reinforcement learning-based longitudinal control strategy for connected automated vehicles combining attention mechanism

Liu, C., Sheng, Z., Li, P., Chen, S., Luo, X., & Ran, B. (2025).

Transportation Letters, 17(2), pp.183-199.

Summary

This paper investigates distributed longitudinal control for connected automated vehicles in traffic shared with human-driven vehicles. It combines deep reinforcement learning with an attention mechanism to use information from surrounding vehicles when selecting control actions.

Brief summary of the paper; see the publication record for the full abstract.

Summary source

Research figure for A distributed deep reinforcement learning-based longitudinal control strategy for connected automated vehicles combining attention mechanism
Training process for the proposed control strategy. (Author manuscript.)