- 期刊
Self-Similar Traffic Prediction Algorithm Based on an Improved Kalman Filtering
並列摘要
In recent years, network congestion is more intractable than ever before. More often than not, congestion results from excessive traffic packets at network nodes. By means of the correlation lying in traffic flow, traffic can be predicted to mitigate congestion. In this paper, a traffic prediction algorithm based on an improved Kalman filtering is proposed. Independent of the feedback information from traffic sources, current and former traffic measured in nodes are used to predict the traffic load in the next time. In addition, the state equation and the observation equation are formulated. As the noise statistics of state equation and observation equation are undetermined, an on-line estimation method with forgetting factor is used to estimate noise statistics. This algorithm has low space and time complexity. Simulation results show that, compared with other algorithms, the proposed algorithm offers more accurate prediction of network traffic.
延伸閱讀
- Lai, Y. T. (2010). A Traffic Estimation Algorithm Using Cellular Network Data [master's thesis, National Chiao Tung University]. Airiti Library. https://doi.org/10.6842/NCTU.2010.01036
- 胡大瀛、李岳洪（2022）。MACHINE LEARNING METHODS FOR TRAFFIC ACCIDENT SEVERITY PREDICTION UNDER IMBALANCED DATA。運輸計劃季刊，51(4)，275-301。https://www.airitilibrary.com/Article/Detail?DocID=10177159-N202302090004-00002
- 周瑞雄、陳梧桐、陳春明、孫惠民（2003）。Kalman Predictor and Multitarget Tracking Algorithm。中華技術學院學報，(26)，22-37。https://doi.org/10.7095/JCIT.200304.0022
- Haung, B. W. (2012). A Hybrid Prediction Algorithm for Traffic Speed Data Prediction [master's thesis, National Chiao Tung University]. Airiti Library. https://doi.org/10.6842/NCTU.2012.00839
- Dong, W., & Sun, W. (2022). Traffic Flow Prediction based on Bi LSTM and Attention. International Core Journal of Engineering, 8(3), 439-444. https://doi.org/10.6919/ICJE.202203_8(3).0057