Presentation	2021-03-15 Model-Predictive-Type Signal Control of a Burgers' Cellular Automaton Traffic Flow Model for Reduction of Traffic Jams Munehiro Sato, Tatsuya Kai,
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Abstract(in Japanese)	(See Japanese page)
Abstract(in English)
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)
Paper #	NLP2020-62
Date of Issue	2021-03-08 (NLP)

Conference Information
Committee	NLP / MSS
Conference Date	2021/3/15(2days)
Place (in Japanese)	(See Japanese page)
Place (in English)	Online
Topics (in Japanese)	(See Japanese page)
Topics (in English)	MSS, NLP, Work In Progress (MSS only), and etc.
Chair	Kiyohisa Natsume(Kyushu Inst. of Tech.) / Shigemasa Takai(Osaka Univ.)
Vice Chair	Takuji Kosaka(Chukyo Univ.) / Atsuo Ozaki(Osaka Inst. of Tech.)
Secretary	Takuji Kosaka(Kyushu Inst. of Tech.) / Atsuo Ozaki(Kagawa Univ.)
Assistant	Toshikaza Samura(Yamaguchi Univ.) / Hideyuki Kato(Oita Univ.) / Naoki Hayashi(Osaka Univ.)

Paper Information
Registration To	Technical Committee on Nonlinear Problems / Technical Committee on Mathematical Systems Science and its Applications
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Model-Predictive-Type Signal Control of a Burgers' Cellular Automaton Traffic Flow Model for Reduction of Traffic Jams
Sub Title (in English)	Application to an Actual Traffic Flow Model and Verification
Keyword(1)
1st Author's Name	Munehiro Sato
1st Author's Affiliation	Tokyo University of Science(Tokyo Univ. of Science)
2nd Author's Name	Tatsuya Kai
2nd Author's Affiliation	Tokyo University of Science(Tokyo Univ. of Science)
Date	2021-03-15
Paper #	NLP2020-62
Volume (vol)	vol.120
Number (no)	NLP-430
Page	pp.pp.41-46(NLP),
#Pages	6
Date of Issue	2021-03-08 (NLP)