日本語フィールド
著者：Shin-ichi Tadaki, Macoto Kikuchi, Akihiro Nakayama, Akihiro Shibata, Yuki Sugiyama and Satoshi Yukawa題名：Characterizing and distinguishing free and jammed traffic flows from the distribution and correlation of experimental speed data発表情報：New Journal of Physics 巻: 18 ページ: 083022キーワード：traffic flow, experiment, data analysis概要：抄録：From a physics point of view, the emergence of a traffic jam is considered to be a dynamical phase
transition. To verify this, we performed a series of circuit experiments. In previous work, Tadaki et al
(2013 New J. Phys 15 103034),we confirmed the occurrence of this phase transition and estimated the
critical density between free and jammed flows by analyzing the fundamental diagram. In this paper,
we characterize and distinguish free and jammed flows, beyond the analyses of fundamental diagrams,
according to the distribution and correlation of experimental speed data.Wefind that the speed in free
flow does not correlate and its distribution has a narrow single peak at the average. The distribution of
speed in jammed flow has two peaks or a single broad peak. The two peaks indicate the car speeds
inside and outside of jam clusters. The broad single peak appears as a result of the appearance and
disappearance of jam clusters.Wealso find that the formation of jam clusters induces a long
correlation in speed.Wecan identify the size of jam clusters and the relative distance between
coexisting jam clusters from this speed correlation.英語フィールド
Author：Shin-ichi Tadaki, Macoto Kikuchi, Akihiro Nakayama, Akihiro Shibata, Yuki Sugiyama and Satoshi YukawaTitle：Characterizing and distinguishing free and jammed traffic flows from the distribution and correlation of experimental speed dataAnnouncement information:New Journal of Physics Vol: 18 Page: 083022Keyword：traffic flow, experiment, data analysisAn abstract：From a physics point of view, the emergence of a traffic jam is considered to be a dynamical phase
transition. To verify this, we performed a series of circuit experiments. In previous work, Tadaki et al
(2013 New J. Phys 15 103034),we confirmed the occurrence of this phase transition and estimated the
critical density between free and jammed flows by analyzing the fundamental diagram. In this paper,
we characterize and distinguish free and jammed flows, beyond the analyses of fundamental diagrams,
according to the distribution and correlation of experimental speed data.Wefind that the speed in free
flow does not correlate and its distribution has a narrow single peak at the average. The distribution of
speed in jammed flow has two peaks or a single broad peak. The two peaks indicate the car speeds
inside and outside of jam clusters. The broad single peak appears as a result of the appearance and
disappearance of jam clusters.Wealso find that the formation of jam clusters induces a long
correlation in speed.Wecan identify the size of jam clusters and the relative distance between
coexisting jam clusters from this speed correlation.