Research on Complexity of Traffic Factors Based on EEG Data

被引：0
|
作者：
Tan, Jiyuan [1 ]
Bi, Rui [1 ]
Li, Li [2 ]
Guo, Weiwei [1 ]
Wang, Yueqin [1 ]
机构：
[1] North China Univ Technol, Beijing Key Lab Urban Intelligent Traff Control T, Beijing, Peoples R China
[2] Tsinghua Univ, Dept Automat, Beijing, Peoples R China
来源：
2020 35TH YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION (YAC) | 2020年
基金：
中国国家自然科学基金;
关键词：
traffic factor complexity; electroencephalogram; power spectral density of alpha wave in the parietal lobe;
D O I：
10.1109/YAC51587.2020.9337655
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Scientifically measuring the complexity of traffic factors and accurately assessing the driver's mental load can help reduce driving risks and road accidents. In order to describe the complexity of traffic factors objectively and quantitatively, the comparison experiment of traffic factors with different complexity are carried out as the research basis. In this paper, the driver's electroencephalogram (EEC) signals obtained from the experiment are analyzed, and a complexity quantization method for traffic factors based on the difference between the predicted value and the actual value of the a wave power spectral density in the parietal lobe of EEC is determined. Finally, based on the quantitative method, the complexity of pedestrian crossing, vehicle speed changing and vehicle lane changing are compared objectively and quantitatively in this paper.
引用
收藏
页码：702 / 709
页数：8
相关论文
共 50 条
  • [11] Analysis of EEG based on the complexity measure
    Wang, P
    Zheng, XL
    Zheng, EX
    Dong, WW
    Wang, YH
    IEEE-EMBS ASIA PACIFIC CONFERENCE ON BIOMEDICAL ENGINEERING - PROCEEDINGS, PTS 1 & 2, 2000, : 664 - 665
  • [12] THE RESEARCH ON HUMAN FACTORS IN URBAN TRAFFIC BASED ON THE CAUSAL RELATIONSHIP
    Du, Xiaoqian
    Gou, Juanqiong
    ICEIS 2011: PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, VOL 4, 2011, : 557 - 562
  • [13] Research on Data Reports Based on Experimentation & Test of Traffic Engineering
    Lu, Yuhong
    Gong, Baiyan
    Ren, Juan
    MECHATRONICS AND APPLIED MECHANICS II, PTS 1 AND 2, 2013, 300-301 : 1617 - 1620
  • [14] Complexity Analysis of EEG Data with Multiscale Permutation Entropy
    Ouyang, Gaoxiang
    Dang, Chuangyin
    Li, Xiaoli
    ADVANCES IN COGNITIVE NEURODYNAMICS (II), 2011, : 741 - 745
  • [15] Research of traffic guidance system based on narrowband data communication
    Xiang, Zhou
    Quan, Yu
    Ran, Rong
    Shuai, Dai
    2007 IEEE INTELLIGENT VEHICLES SYMPOSIUM, VOLS 1-3, 2007, : 382 - 386
  • [16] Research of the Data Mining Based Public Traffic Transfer Algorithm
    Yin Kui-ying
    Jin Lin
    Chang Wen-sheng
    AASRI CONFERENCE ON POWER AND ENERGY SYSTEMS, 2012, 2 : 293 - 299
  • [17] Research on the reliability of network traffic data collection based on Hadoop
    Zong Feng
    PROCEEDINGS OF THE 2015 JOINT INTERNATIONAL MECHANICAL, ELECTRONIC AND INFORMATION TECHNOLOGY CONFERENCE (JIMET 2015), 2015, 10 : 454 - 457
  • [18] Research on Network Traffic Data Management Model Based on Hadoop
    Zong, Feng
    2015 2ND INTERNATIONAL CONFERENCE ON INTELLIGENT MATERIALS AND MECHATRONICS (IMM 2015), 2015, : 78 - 80
  • [19] Research on Freeway Traffic Safety Index based on Toll Data
    Sun, Xin
    Li, Changcheng
    Zhang, Zhi
    Zhao, Jiandong
    INFORMATION TECHNOLOGY APPLICATIONS IN INDUSTRY II, PTS 1-4, 2013, 411-414 : 2710 - +
  • [20] Data Mining Based Research on Urban Tide Traffic Problem
    Gong, Xiaoyan
    Lu, Yu
    PROCEEDINGS OF THE 11TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, 2008, : 122 - +
12345