ログイン
言語:

WEKO3

  • トップ
  • ランキング
To
lat lon distance
To

Field does not validate



インデックスリンク

インデックスツリー

メールアドレスを入力してください。

WEKO

One fine body…

WEKO

One fine body…

アイテム

  1. 文献種別
  2. 学術雑誌論文/Journal Article
  1. 研究者
  2. 複雑系知能学科
  3. 三上 貞芳 (MIKAMI, Sadayoshi)

Feedback Control of Traffic Signal Network of Less Traffic Sensors by Help of Machine Learning

http://hdl.handle.net/10445/8545
http://hdl.handle.net/10445/8545
d09928e5-57cc-41e7-a595-8150b78a0fc9
名前 / ファイル ライセンス アクション
IAS2012wakahara9.pdf IAS2012wakahara9.pdf (480.7 kB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2017-05-18
タイトル
タイトル Feedback Control of Traffic Signal Network of Less Traffic Sensors by Help of Machine Learning
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_6501
資源タイプ journal article
著者 Wakahara, Takumi

× Wakahara, Takumi

WEKO 9254

Wakahara, Takumi

Search repository
三上, 貞芳

× 三上, 貞芳

WEKO 51
e-Rad 50229655
ORCIDID 0000-0002-6059-7983

ja 三上, 貞芳
ISNI


Search repository
抄録
内容記述タイプ Abstract
内容記述 As a way of resolving vehicle congestion, there is a feedback control approach which models a traffic network as a discrete dynamical system and derives feedback gain for controlling green light times of each junction. Since the input is the sensory observed traffic flow of each link, and since the state equation models both the topology and the parameters of the network, it is effective for adaptive control of a wide area traffic in real-time. One of the essential factors in a state equation is the vehicles’ turning ratio at each junction. However, in a normal traffic sensor layout, it is impossible to directly measure this value in real-time, and values from traffic census are used. This paper is to propose a method that predicts this value in real-time through machine learning and gives more appropriate feedback control. Out idea is to find the turning ratio through probabilistic search by Reinforcement Learning referring to the degree of improvement of the entire traffic flow. At this moment we have finished formulation of the scheme and the verification for the performance by a traffic simulator is on the way.
内容記述
内容記述タイプ Other
内容記述 doi: 10.1007/978-3-642-33932-5_81
書誌情報 Intelligent Autonomous Systems 12

p. 853-861, 発行日 2013
ISBN
識別子タイプ ISBN
関連識別子 9783642339318
査読有無
値 あり/yes
研究業績種別
値 原著論文/Original Paper
単著共著
値 共著/joint
DOI
関連タイプ isVersionOf
識別子タイプ DOI
関連識別子 https://doi.org/10.1007/978-3-642-33932-5_81
権利
権利情報 © Springer-Verlag Berlin Heidelberg 2013
著者版フラグ
出版タイプ AM
出版タイプResource http://purl.org/coar/version/c_ab4af688f83e57aa
出版者
出版者 Springer, Berlin, Heidelberg
戻る
0
views
See details
Views

Versions

Ver.1 2023-06-20 13:15:02.297541
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Cite as

エクスポート

OAI-PMH
  • OAI-PMH JPCOAR 2.0
  • OAI-PMH JPCOAR 1.0
  • OAI-PMH DublinCore
  • OAI-PMH DDI
Other Formats
  • JSON
  • BIBTEX

Confirm


Powered by WEKO3


Powered by WEKO3