Author

D. Prastiyanto

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Open access Aug 2026

Deep reinforcement learning-based traffic signal control in multi-intersection environments: a comparative study of DQN variants

The findings demonstrate the potential of DRL-based traffic signal control in controlled simulation conditions and highlight that algorithm performance is strongly influenced by traffic policy design and environmental complexity.

D. Prastiyanto, A. A. Manaf, Muhammad Ahnaf Maulana et al. · Scientific Reports · 0 citations