Fluctuation in expressway traffic flow

被引:3
|
作者
Tadaki, S [1 ]
Kikuchi, M [1 ]
Nakayama, A [1 ]
Nishinari, K [1 ]
Shibata, A [1 ]
Sugiyama, Y [1 ]
Yukawa, S [1 ]
机构
[1] Saga Univ, Comp & Network Ctr, Saga 8408502, Japan
关键词
traffic flow; observation; detrended fluctuation analysis;
D O I
10.1007/3-540-28091-X_5
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The temporal data of the expressway traffic data are complex mixtures of various time scales. The periodic appearances of the congestion, for example, reflect social activities. We need some filters to extract proper fluctuations from the raw data. We employ the method of detrended fluctuation analysis for studying the time sequence of the traffic flow. We find the long-range correlation from 1 hour to 24 hours.
引用
收藏
页码:59 / 65
页数:7
相关论文
共 50 条
  • [31] Traffic flow estimation on the expressway network using toll ticket data
    Zheng, Kangning
    Yao, Enjian
    Zhang, Junyi
    Zhang, Yongsheng
    [J]. IET INTELLIGENT TRANSPORT SYSTEMS, 2019, 13 (05) : 886 - 895
  • [32] Incident Detection Method of Expressway Based on Traffic Flow Simulation Model
    Li, Shu-Bin
    Sun, Tao
    Cao, Dan-Ni
    Zhang, Lin
    [J]. COMMUNICATIONS IN THEORETICAL PHYSICS, 2019, 71 (04) : 468 - 474
  • [33] Traffic Events Oriented Dynamic Traffic Assignment Model for Expressway Network: A Network Flow Approach
    Du, Lun
    Song, Guojie
    Wang, Yiming
    Huang, Jipeng
    Yu, Zhanyuan
    Ruan, Mengfei
    [J]. IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2018, 10 (01) : 107 - 120
  • [34] Expressway traffic flow prediction based on MF-TAN and STSA
    Zhang, Xi
    Ren, Qiang
    Zhang, Ying
    Quan, Chunlian
    Guo, Shuang
    Li, Fangwei
    [J]. PLOS ONE, 2024, 19 (02):
  • [35] Traffic flow modeling of urban expressway using artificial neural networks
    Shen, Guo-Jiang
    [J]. ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 3, PROCEEDINGS, 2006, 3973 : 15 - 22
  • [36] Incident Detection Method of Expressway Based on Traffic Flow Simulation Model
    李树彬
    孙涛
    曹丹妮
    张琳
    [J]. Communications in Theoretical Physics, 2019, 71 (04) : 468 - 474
  • [37] Short-term traffic flow prediction for multi traffic states on urban expressway network
    Dong Chun-Jiao
    Shao Chun-Fu
    Zhuge Cheng-Xiang
    [J]. ACTA PHYSICA SINICA, 2012, 61 (01)
  • [38] Qualitative change of fluctuation observed in real traffic flow
    Yokoya, Yasushi
    [J]. PHYSICA D-NONLINEAR PHENOMENA, 2010, 239 (3-4) : 207 - 213
  • [39] A Spatial and Temporal Combination Model for Traffic Flow: A Case Study of Beijing Expressway
    Liu, Wan
    Gu, Yuanli
    Ding, Ying
    Lu, Wenqi
    Rui, Xiaoping
    Tao, Lu
    [J]. 2020 IEEE 5TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION ENGINEERING (IEEE ICITE 2020), 2020, : 76 - 81
  • [40] TRAFFIC CONFLICTS IN EXPRESSWAY MERGING
    CHIN, HC
    QUEK, ST
    CHEU, RL
    [J]. JOURNAL OF TRANSPORTATION ENGINEERING-ASCE, 1991, 117 (06): : 633 - 643