Assessing Dynamic Neural Networks for Travel Time Prediction

被引：0
|
作者：
Shen, Luou [1 ]
Huang, Min [2 ]
机构：
[1] South China Univ Technol, Sch Civil & Transportat Engn, Guangzhou 510641, Guangdong, Peoples R China
[2] Wuhan Inst Technol, Sch Environm & Civil Engn, Wuhan 430073, Hubei, Peoples R China
来源：
2010 THE 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION (PACIIA2010), VOL I | 2010年
关键词：
Advanced Traffic Information System; Travel Time Prediction; Detector Data; Dynamic Neural Networks;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Dynamic neural networks comprise a class of neural networks that is particularly suitable for predicting variables like travel time, but has not been adequately investigated. This study compares the travel time prediction performance of three dynamic neural network topologies with different memory settings. The results show that the time-delay neural networks out-performed the other two topologies. This topology also performed slightly better than the multilayer perceptron neural networks.
引用
收藏
页码：482 / 485
页数：4
相关论文
共 50 条
  • [1] Assessing Dynamic Neural Networks for Travel Time Prediction
    Shen, Luou
    Huang, Min
    [J]. APPLIED INFORMATICS AND COMMUNICATION, PT I, 2011, 224 : 469 - +
  • [2] Tsunami travel time prediction using neural networks
    Barman, Rahul
    Kumar, B. Prasad
    Pandey, P. C.
    Dube, S. K.
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2006, 33 (16)
  • [3] A study on dynamic travel time forecast with neural networks
    Shao, CF
    Gu, YL
    Zhang, KL
    [J]. TRAFFIC AND TRANSPORTATION STUDIES, VOLS 1 AND 2, PROCEEDINGS, 2002, : 716 - 721
  • [4] State space neural networks for freeway travel time prediction
    van Lint, H
    Hoogendoorn, SP
    van Zuylen, HJ
    [J]. ARTIFICIAL NEURAL NETWORKS - ICANN 2002, 2002, 2415 : 1043 - 1048
  • [5] Variation Based Online Travel Time Prediction Using Clustered Neural Networks
    Ya, Jie
    Chang, Gang-Len
    Ho, H. W.
    Liu, Yue
    [J]. PROCEEDINGS OF THE 11TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, 2008, : 85 - 90
  • [6] Dynamic bus arrival time prediction with artificial neural networks
    Chien, SIJ
    Ding, YQ
    Wei, CH
    [J]. JOURNAL OF TRANSPORTATION ENGINEERING, 2002, 128 (05) : 429 - 438
  • [7] Modeling and prediction with a class of time delay dynamic neural networks
    Becerikli, Yasar
    Oysal, Yusuf
    [J]. APPLIED SOFT COMPUTING, 2007, 7 (04) : 1164 - 1169
  • [8] Sensor Locations for Reliable Travel Time Prediction and Dynamic Management of Traffic Networks
    Viti, Francesco
    Verbeke, Wouter
    Tampere, Chris M. J.
    [J]. TRANSPORTATION RESEARCH RECORD, 2008, (2049) : 103 - 110
  • [9] Travel Time Prediction with LSTM Neural Network
    Duan, Yanjie
    Lv, Yisheng
    Wang, Fei-Yue
    [J]. 2016 IEEE 19TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2016, : 1053 - 1058
  • [10] A Neural Network Model for Travel Time Prediction
    Liu, Hao
    He, Ruihua
    Zhang, Ke
    Li, Jing
    [J]. 2009 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INTELLIGENT SYSTEMS, PROCEEDINGS, VOL 1, 2009, : 752 - 756
12345