Neural network model based on fuzzy artmap for forecasting of highway traffic data

被引：0
|
作者：
Boto-Giralda, D. [1 ]
Anton-Rodriguez, M. [1 ]
Diaz-Pernas, F. J. [1 ]
Diez Higuera, J. F. [1 ]
机构：
[1] ETSIT Univ Valladolid, Dept Teoria Senal Commun & Ingn Telemat, Campus Miguel Delibes S-N, Valladolid 47011, Spain
来源：
ICINCO 2006: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS: INTELLIGENT CONTROL SYSTEMS AND OPTIMIZATION | 2006年
关键词：
fuzzy ARTMAP; travel cost estimates; ATIS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this article, a neural network model is presented for forecasting the average speed values at highway traffic detectors locations using the Fuzzy ARTMAP theory. The performance of the model is measured by the deviation between the speed values provided by the loop detectors and the predicted speed values. Different Fuzzy ARTMAP configuration cases are analysed in their training and testing phases. Some ad-hoc mechanisms added to the basic Fuzzy ARTMAP structure are also described to improve the entire model performance. The achieved results make this model suitable for being implemented on advanced traffic management systems (ATMS) and advanced traveller information system (ATIS).
引用
收藏
页码：19 / +
页数：3
相关论文
共 50 条
  • [1] Fuzzy ARTMAP model for forecasting of highway travel time
    Boto-Giralda, D.
    Diaz-Pernas, F. J.
    Diez-Higuera, J. F.
    Anton-Rodriguez, M.
    [J]. 2008 IEEE MEDITERRANEAN ELECTROTECHNICAL CONFERENCE, VOLS 1 AND 2, 2008, : 35 - 40
  • [2] Classification of incomplete data using the fuzzy ARTMAP neural network
    Granger, E
    Rubin, MA
    Grossberg, S
    Lavoie, P
    [J]. IJCNN 2000: PROCEEDINGS OF THE IEEE-INNS-ENNS INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOL VI, 2000, : 35 - 40
  • [3] Electric load forecasting using a fuzzy ART&ARTMAP neural network
    Lopes, MLM
    Minussi, CR
    Lotufo, ADP
    [J]. APPLIED SOFT COMPUTING, 2005, 5 (02) : 235 - 244
  • [4] Forecasting railway network data traffic: A model and a neural network solution algorithm
    Jing, Teng
    [J]. 2008 WORKSHOP ON POWER ELECTRONICS AND INTELLIGENT TRANSPORTATION SYSTEM, PROCEEDINGS, 2008, : 203 - 208
  • [5] Traffic flow forecasting based on Grey Neural Network model
    Chen, SY
    Qu, GF
    Wang, XH
    Zhang, HZ
    [J]. 2003 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-5, PROCEEDINGS, 2003, : 1275 - 1278
  • [6] Fuzzy neural network optimization and network traffic forecasting based on improved differential evolution
    Hou, Yue
    Zhao, Long
    Lu, Huaiwei
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2018, 81 : 425 - 432
  • [7] Multinodal load forecasting for distribution systems using a fuzzy-artmap neural network
    Abreu, Thays
    Amorim, Aline J.
    Santos-Junior, Carlos R.
    Lotufo, Anna D. P.
    Minussi, Carlos R.
    [J]. APPLIED SOFT COMPUTING, 2018, 71 : 307 - 316
  • [8] Short-term electrical load forecasting using a fuzzy ARTMAP neural network
    Skarman, SE
    Georgiopoulos, M
    Gonzalez, AJ
    [J]. APPLICATIONS AND SCIENCE OF COMPUTATIONAL INTELLIGENCE, 1998, 3390 : 181 - 191
  • [9] Fuzzy data mining and grey recurrent neural network forecasting for traffic information systems
    Wen, YH
    Lee, TT
    [J]. PROCEEDINGS OF THE 2005 IEEE INTERNATIONAL CONFERENCE ON INFORMATION REUSE AND INTEGRATION, 2005, : 356 - 361
  • [10] FORECASTING FINANCIAL DATA: A COMBINED MODEL OF FUZZY NEURAL NETWORK AND STATISTICS
    Marcek, Dusan
    [J]. UNCERTAINTY MODELLING IN KNOWLEDGE ENGINEERING AND DECISION MAKING, 2016, 10 : 1137 - 1142
12345