Adaptive Traffic Lights Control System Using Deep Q-Network and Salp Swarm Optimization
Effective traffic light control is critical for reducing congestion and improving urban mobility. This paper presents a novel algorithm combining Salp Swarm Optimization (SSO) with Deep Q-Network (DQN) to enhance decision-making in adaptive traffic management systems. The proposed DQN-SSO approach w...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11052272/ |
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