A Deep Reinforcement Learning-Based Speed Optimization System to Reduce Fuel Consumption and Emissions for Smart Cities
Increasing traffic density in cities exacerbates air pollution, threatens human health and worsens the global climate crisis. Urgent solutions for sustainable and eco-friendly urban transportation are needed. Innovative technologies like artificial intelligence, particularly Deep Reinforcement Learn...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/3/1545 |
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