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  1. 研究報告
  2. 数理モデル化と問題解決(MPS)
  3. 2017
  4. 2017-MPS-112

Back-Pressure Based Traffic Scheduling Algorithm for Urban Vehicular Networks with Self-Driving Vehicles

https://ipsj.ixsq.nii.ac.jp/records/177451
https://ipsj.ixsq.nii.ac.jp/records/177451
f55b70f3-5ebf-4d9b-b9d3-c08b818fe6d6
名前 / ファイル ライセンス アクション
IPSJ-MPS17112023.pdf IPSJ-MPS17112023.pdf (628.8 kB)
Copyright (c) 2017 by the Information Processing Society of Japan
オープンアクセス
Item type SIG Technical Reports(1)
公開日 2017-02-20
タイトル
タイトル Back-Pressure Based Traffic Scheduling Algorithm for Urban Vehicular Networks with Self-Driving Vehicles
タイトル
言語 en
タイトル Back-Pressure Based Traffic Scheduling Algorithm for Urban Vehicular Networks with Self-Driving Vehicles
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_18gh
資源タイプ technical report
著者所属
Institute of Computer Science and Engineering, National Chiao Tung University
著者所属
Graduate School of Information Science, Nara Institute of Science and Technology
著者所属
Graduate School of Information Science, Nara Institute of Science and Technology
著者所属
Graduate School of Information Science, Nara Institute of Science and Technology
著者所属(英)
en
Institute of Computer Science and Engineering, National Chiao Tung University
著者所属(英)
en
Graduate School of Information Science, Nara Institute of Science and Technology
著者所属(英)
en
Graduate School of Information Science, Nara Institute of Science and Technology
著者所属(英)
en
Graduate School of Information Science, Nara Institute of Science and Technology
著者名 Yishan, Lin

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Yishan, Lin

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Ying, Liu

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Ying, Liu

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Juntao, Gao

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Juntao, Gao

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Minoru, Ito

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Minoru, Ito

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著者名(英) Yishan, Lin

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Ying, Liu

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Juntao, Gao

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Minoru, Ito

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論文抄録
内容記述タイプ Other
内容記述 Back-pressure algorithm, which works as water flows through pipe networks according to pressure gradients, has been increasingly attractive to reduce traffic congestion for urban vehicular networks. Recent work has shown the performance superiority of back-pressure based traffic scheduling algorithms, such as throughput optimality, distributed implementation, low computational complexity, etc. However, these back-pressure based traffic scheduling algorithms either assume each road can hold infinite vehicles (infinite road capacity) or need to have prior knowledge of vehicle turning ratios, all of which are not realistic for applications. In this paper, we propose a back-pressure based traffic scheduling algorithm that can efficiently reduce traffic congestion for realistic urban vehicular networks with finite road capacity and without prior knowledge of vehicle turning ratios.
論文抄録(英)
内容記述タイプ Other
内容記述 Back-pressure algorithm, which works as water flows through pipe networks according to pressure gradients, has been increasingly attractive to reduce traffic congestion for urban vehicular networks. Recent work has shown the performance superiority of back-pressure based traffic scheduling algorithms, such as throughput optimality, distributed implementation, low computational complexity, etc. However, these back-pressure based traffic scheduling algorithms either assume each road can hold infinite vehicles (infinite road capacity) or need to have prior knowledge of vehicle turning ratios, all of which are not realistic for applications. In this paper, we propose a back-pressure based traffic scheduling algorithm that can efficiently reduce traffic congestion for realistic urban vehicular networks with finite road capacity and without prior knowledge of vehicle turning ratios.
書誌レコードID
収録物識別子タイプ NCID
収録物識別子 AN10505667
書誌情報 研究報告数理モデル化と問題解決(MPS)

巻 2017-MPS-112, 号 23, p. 1-2, 発行日 2017-02-20
ISSN
収録物識別子タイプ ISSN
収録物識別子 2188-8833
Notice
SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
出版者
言語 ja
出版者 情報処理学会
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