Optimizing Traffic at Intersections With Deep Reinforcement Learning
Conclusions: This work compared methods for controlling traffic lights and autonomous vehicles in a custom simulated environment at a signalized intersection. A novel environment was developed, compatible with existing frameworks such as Gym, for the task of training and validating reinforcement lea...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-01-01
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| Series: | Journal of Engineering |
| Online Access: | http://dx.doi.org/10.1155/2024/6509852 |
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