Presentation 2021-03-05
Performance evaluation of traffic vehicle group guidance method based on proximity information sharing
Shogo Amita, Akihiro Fujihara,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) A route guidance method has been proposed in which each evacuee autonomously collects information on roads that are impassable due to fire or collapsed buildings during a disaster, and does proximity information sharing with each other to speed up movement to the destination. In this paper, we apply this research to traffic vehicles and report our simulation results on the effect of the ratio of proximity information-sharing traffic vehicles on the performance of route guidance. As a result of comparison with the case without proximity information sharing using the Wilcoxon rank sum test, it was confirmed that the effect of reducing travel time and distance was significantly improved even when the percentage of vehicles with proximity information sharing was 25%, when the scale of the road network was large and there were many road closures.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Proximity information sharing / Group intelligence / Route guidance
Paper # IN2020-72
Date of Issue 2021-02-25 (IN)

Conference Information
Committee IN / NS
Conference Date 2021/3/4(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) General
Chair Kenji Ishida(Hiroshima City Univ.) / Akihiro Nakao(Univ. of Tokyo)
Vice Chair Kunio Hato(Internet Multifeed) / Tetsuya Oishi(NTT)
Secretary Kunio Hato(Hiroshima City Univ.) / Tetsuya Oishi(KDDI Research)
Assistant / Shinya Kawano(NTT)

Paper Information
Registration To Technical Committee on Information Networks / Technical Committee on Network Systems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Performance evaluation of traffic vehicle group guidance method based on proximity information sharing
Sub Title (in English) Impact of percentage of proximity information sharing vehicles
Keyword(1) Proximity information sharing
Keyword(2) Group intelligence
Keyword(3) Route guidance
1st Author's Name Shogo Amita
1st Author's Affiliation Chiba Institute of Technology(Chiba Inst. Tech.)
2nd Author's Name Akihiro Fujihara
2nd Author's Affiliation Chiba Institute of Technology(Chiba Inst. Tech.)
Date 2021-03-05
Paper # IN2020-72
Volume (vol) vol.120
Number (no) IN-414
Page pp.pp.108-113(IN),
#Pages 6
Date of Issue 2021-02-25 (IN)