An Improved Traffic Flow Prediction Algorithm Based on TLBO and BP

被引：0
|
作者：
Wu, Qiong [1 ,2 ]
Zhao, Xiangmo [2 ]
机构：
[1] Shenyang Univ, Shenyang 110044, Peoples R China
[2] Changan Univ, Coll Informat Engn, Xian 710064, Peoples R China
来源：
PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019) | 2019年
关键词：
traffic flow; predication; optimization; TLBO; BP;
D O I：
10.1109/ccdc.2019.8832461
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
BP has been shown to be effective in predicting traffic flow. However, BP neural net may reach the uncertainty of global minimum point. In this paper, an improved optimization algorithm is proposed to predict traffic flow, which is based on teaching-learning-based optimization and BP. The topological structure of BP is optimized by TLBO to search the minimum value of the objective function. In addition, a novel feedback phrase is proposed for convergence and accuracy. The simulation results show that the presented algorithm has a better predictive ability for traffic flow compared with some state-of-the-art approaches, and it has strong robustness and effectiveness.
引用
收藏
页码：4918 / 4921
页数：4
相关论文
共 50 条
  • [41] AHS_BP Algorithm and Application in Traffic Parameters Prediction
    Wu, Qiong
    Zhao, Xiangmo
    [J]. 2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2017, : 4073 - 4077
  • [42] Combined prediction research of city traffic flow based on genetic algorithm
    Song Yuecong
    Hu Wei
    Bi Guotong
    [J]. ICEMI 2007: PROCEEDINGS OF 2007 8TH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOL III, 2007, : 862 - +
  • [43] Forecasting Model for Urban Traffic Flow with BP Neural Network based on Genetic Algorithm
    Yang, Xiaofeng
    Chang, Langwen
    Xie, Wei
    [J]. PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019), 2019, : 4395 - 4399
  • [44] Network traffic prediction algorithm based on improved chaos particle swarm SVM
    Ling, Weng
    [J]. Journal of Chemical and Pharmaceutical Research, 2014, 6 (07) : 2294 - 2303
  • [45] Self-Similar Traffic Prediction Algorithm Based on An Improved Kalman Filtering
    Na, Zhenyu
    Gao, Zihe
    [J]. JOURNAL OF INTERNET TECHNOLOGY, 2011, 12 (03): : 399 - 405
  • [46] Prediction of Critical Velocity in Pipeline Flow of Slurries Using TLBO Algorithm: A Comprehensive Study
    Sayari, Sareh
    Mahdavi-Meymand, Amin
    Zounemat-Kermani, Mohammad
    [J]. JOURNAL OF PIPELINE SYSTEMS ENGINEERING AND PRACTICE, 2020, 11 (02)
  • [47] Design of BP Neural Network Urban Short-term Traffic Flow Prediction Software Based on Improved Particle Swarm Optimization
    Ma, Qiufang
    [J]. ADVANCES IN MATERIALS, MACHINERY, ELECTRONICS III, 2019, 2073
  • [48] A novel traffic flow prediction model: Variable order fractional grey model based on an improved grey evolution algorithm
    Zhang, Ruyue
    Mao, Shuhua
    Kang, Yuxiao
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2023, 224
  • [49] Traffic Flow Labelling for Congestion Prediction with Improved Heuristic Algorithm and Atrous Convolution-based Hybrid Attention Networks
    Srivastava, Vivek
    Mishra, Sumita
    Gupta, Nishu
    [J]. MOBILE NETWORKS & APPLICATIONS, 2024,
  • [50] A Hybrid Framework Model Based on Wavelet Neural Network with Improved Fruit Fly Optimization Algorithm for Traffic Flow Prediction
    Zhang, Qingyong
    Li, Changwu
    Yin, Conghui
    Zhang, Hang
    Su, Fuwen
    [J]. SYMMETRY-BASEL, 2022, 14 (07):
12345