Adaptive Traffic-Following Scheme for Orderly Distributed Control of Multi-Vehicle Systems
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arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866910978361262080 |
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| author | Jain, Anahita Idris, Husni Clarke, John-Paul Delahaye, Daniel |
| author_facet | Jain, Anahita Idris, Husni Clarke, John-Paul Delahaye, Daniel |
| contents | We present an adaptive control scheme to enable the emergence of order within distributed, autonomous multi-agent systems. Past studies showed that under high-density conditions, order generated from traffic-following behavior reduces travel times, while under low densities, choosing direct paths is more beneficial. In this paper, we leveraged those findings to allow aircraft to independently and dynamically adjust their degree of traffic-following behavior based on the current state of the airspace. This enables aircraft to follow other traffic only when beneficial. Quantitative analyses revealed that dynamic traffic-following behavior results in lower aircraft travel times at the cost of minimal levels of additional disorder to the airspace. The sensitivity of these benefits to temporal and spatial horizons was also investigated. Overall, this work highlights the benefits, and potential necessity, of incorporating self-organizing behavior in making distributed, autonomous multi-agent systems scalable. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_00703 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Adaptive Traffic-Following Scheme for Orderly Distributed Control of Multi-Vehicle Systems Jain, Anahita Idris, Husni Clarke, John-Paul Delahaye, Daniel Multiagent Systems Emerging Technologies Robotics Systems and Control We present an adaptive control scheme to enable the emergence of order within distributed, autonomous multi-agent systems. Past studies showed that under high-density conditions, order generated from traffic-following behavior reduces travel times, while under low densities, choosing direct paths is more beneficial. In this paper, we leveraged those findings to allow aircraft to independently and dynamically adjust their degree of traffic-following behavior based on the current state of the airspace. This enables aircraft to follow other traffic only when beneficial. Quantitative analyses revealed that dynamic traffic-following behavior results in lower aircraft travel times at the cost of minimal levels of additional disorder to the airspace. The sensitivity of these benefits to temporal and spatial horizons was also investigated. Overall, this work highlights the benefits, and potential necessity, of incorporating self-organizing behavior in making distributed, autonomous multi-agent systems scalable. |
| title | Adaptive Traffic-Following Scheme for Orderly Distributed Control of Multi-Vehicle Systems |
| topic | Multiagent Systems Emerging Technologies Robotics Systems and Control |
| url | https://arxiv.org/abs/2506.00703 |