Traffic Density Prediction state of the art
published by Damascus University in 2018 in and research's language is العربية
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Abstract in English
References used
Huiyu Zhou. and Kotaro Hirasawa. 2014 - Traffic Density Prediction with Time-Related Data Mining using Genetic Network Programming. The British Computer Society. Vol. 57 No. 9, Feb.
Yongfu Li · Xiao Jiang · Hao Zhu., Xiaozheng He · Srinivas Peeta·, Taixiong Zheng · Yinguo Li. 2016 - Multiple measures-based chaotic time series for traffic flow prediction based on Bayesian theory. Nonlinear Dyn. DOI 10.1007/s11071-016-2677-5.
Stathopoulos, A., Karlaftis, M.G. 2003 - Amultivariate state-space approach for urban traffic flow modeling and prediction. Transp. Res. Part C 11(2), 121–135
Kim, H.S., Eykholtb, R., Salasc, J.D. 1999 - delay times and embedding windows. Nonlinear dynamics, Phys. D 127, 48–60.
Yisheng Lv, Yanjie Duan, Wenwen Kang, Zhengxi Li, and Fei-Yue Wang. 2014 - Traffic Flow Prediction with Big Data: A Deep Learning Approach. IEEE, 1524-9050.
Y. Bengio, P. Lamblin, D. Popovici, and H. Larochelle. 2007 - Greedy layerwise training of deep networks, Proc. Adv. NIPS, pp. 153–160.
G. E. Hinton, S. Osindero, and Y.-W. The. Jul. 2006- A fast learning algorithm for deep belief nets, Neural Comput., vol. 18, no. 7, pp. 1527–1554
Huaizhong Gu, Jian Lu, and Qingchao Liu. 2016 - Traffic Volume Prediction Based on Cost Factor Optimization of Support Vector Machine Regression. University of Western Ontario.
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