From Single Agent to Multi-Agent: Improving Traffic Signal Control
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
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| _version_ | 1866916295453179904 |
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| author | Tislenko, Maksim Kisilev, Dmitrii |
| author_facet | Tislenko, Maksim Kisilev, Dmitrii |
| contents | Due to accelerating urbanization, the importance of solving the signal control problem increases. This paper analyzes various existing methods and suggests options for increasing the number of agents to reduce the average travel time. Experiments were carried out with 2 datasets. The results show that in some cases, the implementation of multiple agents can improve existing methods. For a fine-tuned large language model approach there is small enhancement on all metrics. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_13693 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | From Single Agent to Multi-Agent: Improving Traffic Signal Control Tislenko, Maksim Kisilev, Dmitrii Artificial Intelligence Due to accelerating urbanization, the importance of solving the signal control problem increases. This paper analyzes various existing methods and suggests options for increasing the number of agents to reduce the average travel time. Experiments were carried out with 2 datasets. The results show that in some cases, the implementation of multiple agents can improve existing methods. For a fine-tuned large language model approach there is small enhancement on all metrics. |
| title | From Single Agent to Multi-Agent: Improving Traffic Signal Control |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2406.13693 |