Short-Term Traffic Flow Intensity Prediction Based on CHS-LSTM
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-020-04862-3.pdf
Reference33 articles.
1. Hou, Z.; Li, X.: Repeatability and similarity of freeway traffic flow and long-term prediction under big data. IEEE Trans. Intell. Transp. Syst. 17(6), 1786–1796 (2016)
2. Anwar, M.Y.; Lewnard, J.A.; Parikh, S.; Pitzer, V.E.: Time series analysis of malaria in Afghanistan: using ARIMA models to predict future trends in incidence. Malaria J 15(1), 566 (2016)
3. Wang, Y.; Chaib-draa, B.: KNN-based Kalman filter: an efficient and non-stationary method for Gaussian process regression. Knowl.-Based Syst. 114, 148–155 (2016)
4. Patel, H.; Pandya, M.; Aware, M.: Short term load forecasting of Indian system using linear regression and artificial neural network. In: 2015 5th Nirma University International Conference on Engineering (NUiCONE). IEEE (2015)
5. Laña, I.; Lobo, J.L.; Capecci, E.; Del Ser, J.; Kasabov, N.: Adaptive long-term traffic state estimation with evolving spiking neural networks. Transp. Res. Part C: Emerg. Technol. 101, 126–144 (2019)
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