A practical kalman filter model of short term traffic forecasting of urban ring road

被引：0
|
作者：
Wang, Jun [1 ]
Guan, Wei [1 ]
机构：
[1] Beijing Jiaotong Univ, Sch Traff & Transportat, Beijing 100044, Peoples R China
来源：
WMSCI 2006: 10TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL III, PROCEEDINGS | 2006年
关键词：
kalman filter; traffic forecast; forecast model; ARIMA;
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：
In this paper, a model of dynamic real-time forecasting of urban ring road traffic flow base on Kalman filter is proposed, and the traffic flow data of Beijing Third-Ring-Road (BTRR) are explored to test the validity of the model and a ARIMA model is used to compare with the results obtained by Kalman filter. The experimental results show that the forecasting data obtained by the model correspond to the actual data basically, the recursion arithmetic of the model is suitable for computer programming.
引用
收藏
页码：94 / +
页数：3
相关论文
共 50 条
  • [41] Forecasting Model of Short-term Traffic Flow Based on Cloud Model
    Liu, Qin
    Xu, Jianmin
    [J]. ADVANCES IN STRUCTURAL ENGINEERING, PTS 1-3, 2011, 94-96 : 38 - 42
  • [42] Short-term forecasting of electric load based on Kalman filter with elastic net method
    Tian, Y. J.
    Shen, H. X.
    Gao, W. G.
    [J]. 2019 INTERNATIONAL CONFERENCE ON NEW ENERGY AND FUTURE ENERGY SYSTEM, 2019, 354
  • [43] Short-term power load forecasting of GWO-KELM based on Kalman filter
    Chen, Xiaoyu
    Wang, Yulin
    Tuo, Jianyong
    [J]. IFAC PAPERSONLINE, 2020, 53 (02): : 12086 - 12090
  • [44] Short-term Load Forecasting based on Kalman Filter and Nonlinear Autoregressive Neural Network
    Zhang Liang
    Zheng Chengyuan
    Zhao Zhengang
    Zhang Dacheng
    [J]. PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021), 2021, : 3747 - 3751
  • [45] Short-term traffic forecasting model: prevailing trends and guidelines
    Soon, Kian Lun
    Chan, Robin Kuok Cheong
    Lim, Joanne Mun-Yee
    Parthiban, Rajendran
    [J]. TRANSPORTATION SAFETY AND ENVIRONMENT, 2023, 5 (03)
  • [46] A wavelet network model for short-term traffic volume forecasting
    Xie, Yuanchang
    Zhang, Yunlong
    [J]. JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS, 2006, 10 (03) : 141 - 150
  • [47] An Intelligent Hybrid Forecasting Model for Short-term Traffic Flow
    Shen Guo-jiang
    [J]. 2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2010, : 486 - 491
  • [48] Short-term Forecasting Model of Traffic Flow Based on GRNN
    Leng, Ziwen
    Gao, Junwei
    Qin, Yong
    Liu, Xin
    Yin, Jing
    [J]. 2013 25TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2013, : 3816 - 3820
  • [49] A Block Regression Model for Short-Term Mobile Traffic Forecasting
    Pan, Huimin
    Liu, Jingchu
    Zhou, Sheng
    Niu, Zhisheng
    [J]. 2015 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA (ICCC), 2015,
  • [50] Tunable and Transferable RBF Model for Short-Term Traffic Forecasting
    Cai, Pinlong
    Wang, Yunpeng
    Lu, Guangquan
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 20 (11) : 4134 - 4144
12345