Three Pillars Towards Next-Generation Routing System
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866912033092403200 |
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| author | Li, Lei Zhang, Mengxuan Xu, Zizhuo Xu, Yehong Zhou, XIaofang |
| author_facet | Li, Lei Zhang, Mengxuan Xu, Zizhuo Xu, Yehong Zhou, XIaofang |
| contents | The routing results are playing an increasingly important role in transportation efficiency, but they could generate traffic congestion unintentionally. This is because the traffic condition and routing system are disconnected components in the current routing paradigm. In this paper, we propose a next-generation routing paradigm that could reduce traffic congestion by considering the influence of the routing results in real-time. Specifically, we regard the routing results as the root cause of the future traffic flow, which at the same time is identified as the root cause of traffic conditions. To implement such a system, we identify three essential components: 1) the traffic condition simulation that establishes the relation between traffic flow and traffic condition with guaranteed accuracy; 2) the future route management that supports efficient simulation with dynamic route update; 3) the global routing optimization that improves the overall transportation system efficiency. Preliminary design and experimental results will be presented, and the corresponding challenges and research directions will also be discussed. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_11412 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Three Pillars Towards Next-Generation Routing System Li, Lei Zhang, Mengxuan Xu, Zizhuo Xu, Yehong Zhou, XIaofang Networking and Internet Architecture Emerging Technologies Machine Learning The routing results are playing an increasingly important role in transportation efficiency, but they could generate traffic congestion unintentionally. This is because the traffic condition and routing system are disconnected components in the current routing paradigm. In this paper, we propose a next-generation routing paradigm that could reduce traffic congestion by considering the influence of the routing results in real-time. Specifically, we regard the routing results as the root cause of the future traffic flow, which at the same time is identified as the root cause of traffic conditions. To implement such a system, we identify three essential components: 1) the traffic condition simulation that establishes the relation between traffic flow and traffic condition with guaranteed accuracy; 2) the future route management that supports efficient simulation with dynamic route update; 3) the global routing optimization that improves the overall transportation system efficiency. Preliminary design and experimental results will be presented, and the corresponding challenges and research directions will also be discussed. |
| title | Three Pillars Towards Next-Generation Routing System |
| topic | Networking and Internet Architecture Emerging Technologies Machine Learning |
| url | https://arxiv.org/abs/2409.11412 |