Research on the Short-term Traffic Flow Prediction Method Based on BP Neural Networks

被引：0
|
作者：
Liu, Zhongbo [1 ]
Yang, Zhaosheng [1 ]
Gao, Peng [1 ]
机构：
[1] Jilin Univ, Coll Traff, Changchun 130023, Peoples R China
来源：
2012 WORLD AUTOMATION CONGRESS (WAC) | 2012年
关键词：
congestion; coordination; traffic flow prediction; BP neural network; MatLab;
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：
The coordination of control system and guidance system can solve currently urban congestion effectively, and traffic flow prediction is an important part for achieving this process. This paper establishes a short-term traffic flow predicting model of single intersection, then proves the feasibility of BP neural network being used in traffic flow prediction with several kinds of algorithms. Finally the results show that the method has very good applicability in practical engineering project.
引用
收藏
页数：4
相关论文
共 50 条
  • [1] Short-term traffic flow prediction for freeway based on BP and improved BP neural network
    Chi, Qi
    Zhong-sheng, Hou
    Yi, Wang
    [J]. PROCEEDINGS OF FIRST INTERNATIONAL CONFERENCE OF MODELLING AND SIMULATION, VOL IV: MODELLING AND SIMULATION IN BUSINESS, MANAGEMENT, ECONOMIC AND FINANCE, 2008, : 85 - 90
  • [2] Prediction for short-term traffic flow based on modified PSO optimized BP neural network
    Li, Song
    Liu, Li-Jun
    Zhai, Man
    [J]. Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 2012, 32 (09): : 2045 - 2049
  • [3] A Short-term Traffic Flow Prediction Method Based on Wavelet Analysis and Neural Network
    Chai Yanchong
    Huang Darong
    Zhao Ling
    [J]. PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC), 2016, : 7030 - 7034
  • [4] A combined method for short-term traffic flow prediction based on recurrent neural network
    Lu, Saiqun
    Zhang, Qiyan
    Chen, Guangsen
    Seng, Dewen
    [J]. ALEXANDRIA ENGINEERING JOURNAL, 2021, 60 (01) : 87 - 94
  • [5] SHORT-TERM TRAFFIC FLOW PREDICTION METHOD IN BAYESIAN NETWORKS BASED ON QUANTILE REGRESSION
    Luo, Jing
    [J]. PROMET-TRAFFIC & TRANSPORTATION, 2020, 32 (06): : 821 - 835
  • [6] Prediction of short-term traffic flow based on PSO-optimized chaotic BP neural network
    Li, Song
    Wang, Liu
    Liu, Bo
    [J]. 2013 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCES AND APPLICATIONS (CSA), 2013, : 292 - 295
  • [7] Short-term traffic flow prediction method based on SVM
    College of Transportation, Jilin University, Changchun 130022, China
    [J]. Jilin Daxue Xuebao (Gongxueban), 2006, 6 (881-884):
  • [8] Time Slot Recurrent Neural Networks for Short-Term Traffic Flow Prediction
    Qu, Licheng
    Qie, Liyuan
    Li, Xinze
    Liu, Zijun
    Li, Xiang
    Shi, Yuexiang
    [J]. 2022 IEEE 7TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION ENGINEERING, ICITE, 2022, : 265 - 271
  • [9] Short-term prediction of BP neural network based on difference method
    Hu Menghui
    Liu Yian
    [J]. 2020 19TH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND APPLICATIONS FOR BUSINESS ENGINEERING AND SCIENCE (DCABES 2020), 2020, : 58 - 61
  • [10] Exploring echo state neural networks in short-term traffic flow prediction
    An, Yisheng
    Zhao, Xiangmo
    Song, Qingsong
    [J]. ICIC Express Letters, Part B: Applications, 2012, 3 (02): : 343 - 348
12345