Attribute recognition model for Evaluating Urban Ecological Traffic

被引:0
|
作者
Zhang Weihua [1 ]
Hu Qizhou [1 ]
机构
[1] Hefei Univ Technol, Hefei 230009, Peoples R China
关键词
ecological traffic; evaluation; attribute recognition;
D O I
暂无
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
Through comprehensive analysis to urban ecological traffic, it raises an evaluation layout index system. On the basis of setting up grade evaluation, it adopts membership function and gets quantized evaluation index of urban ecological traffic. Because performance of the common measure that can't be common between different indices, it utilize attribute mathematics to make the indices standardization. According to the variation coefficient it determines the weight value of the evaluation index. The comprehensive appraisal model of urban ecological traffic is set up by using attribute recognition knowledge. And it carries a comprehensive appraisal on the existing ecological traffic for one city. The result shows the existing ecological traffic of this city belongs to 'III'. This result is coherent to the real condition and in conformity with that of the multi-specialist evaluation method. It validates that the new model is feasible in comprehensive evaluation of urban ecological traffic.
引用
收藏
页码:1227 / 1231
页数:5
相关论文
共 50 条
  • [1] EVALUATING THE URBAN PUBLIC TRANSIT NETWORK BASED ON THE ATTRIBUTE RECOGNITION MODEL
    Hu, Qi-Zhou
    Lu, Hua-Pu
    Deng, Wei
    TRANSPORT, 2010, 25 (03) : 300 - 306
  • [2] Attribute Recognition Model and Application for Evaluating Expansive Soil
    Chang-Ping, Wen
    2007 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-15, 2007, : 5220 - 5223
  • [3] Evaluating Model of Traffic Accident Rate on Urban Data
    Wang, Jianshi
    Ohsawa, Yukio
    PROCEEDINGS OF THE 2016 FEDERATED CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS (FEDCSIS), 2016, 8 : 181 - 186
  • [4] Evaluating Urban Traffic Jam Based on a Urban Cell Transmission Model (UCTM)
    Xie, Bo
    Chen, Yingwen
    Xu, Ming
    2012 12TH INTERNATIONAL CONFERENCE ON ITS TELECOMMUNICATIONS (ITST-2012), 2012, : 205 - 209
  • [5] Safety attribute recognition model on traffic accident site based on coefficient of entropy
    Zhang, W.-H. (rayear@163.com), 1600, Science Press (13):
  • [6] Recognition of Traffic Lights in Urban Traffic Scenes Using Color Space Model
    Zhu, Xiaoyan
    Zhao, Chihang
    Qi, Xingzhi
    He, Jie
    2018 INTERNATIONAL CONFERENCE ON IMAGE AND VIDEO PROCESSING, AND ARTIFICIAL INTELLIGENCE, 2018, 10836
  • [8] An attribute recognition model based on entropy weight for evaluating the quality of groundwater sources
    School of Resource and Earth Science, China University of Mining and Technology, Xuzhou, Jiangsu 221008, China
    不详
    J. China Univ. Min. Technol., 2008, 1 (72-75):
  • [9] A Combined Recognition and Segmentation Model for Urban Traffic Scene Understanding
    Oeljeklaus, Malte
    Hoffmann, Frank
    Bertram, Torsten
    2017 IEEE 20TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2017,
  • [10] Attribute Recognition Model for Rural-Urban Binding Region Traffic Safety Evaluation Based on Combined Weight on Principle of Relative Entropy
    Wei Qun
    Mou Ruifang
    PROGRESS IN SAFETY SCIENCE AND TECHNOLOGY, VOL. VIII, PTS A AND B, 2010, 8 : 1977 - 1982