Traffic Density Recognition Based on Image Global Texture Feature

Author:

Hu Hongyu,Gao Zhenhai,Sheng Yuhuan,Zhang Chi,Zheng Rencheng

Funder

National Natural Science Foundation of China

Industrial Innovation Special Fund Project of Jilin Province of China

National Key Research and Development Program of China

State Key Laboratory of Control and Simulation of Power System and Generation Equipment

Publisher

Springer Science and Business Media LLC

Subject

General Neuroscience,Computer Science Applications,Software,Automotive Engineering,Applied Mathematics,Control and Systems Engineering,Aerospace Engineering,Information Systems

Reference23 articles.

1. Kong, Q.J., Li, Z.P., Chen, Y.K., Liu, Y.C.: An approach to urban traffic state estimation by fusing multisource information. IEEE Trans. Intell. Transp. Syst. 10(3), 499–511 (2009)

2. Ma, D.F., Wang, D.H., Bie, Y.M., Di, S.: A method of signal timing optimization for spillover dissipation in urban street networks. Math. Probl. Eng. 2013(11), 1–11 (2013)

3. Kerner, B.S., Demir, C., Herrtwich, R.G., Klenov, S.L., Rehborn, H., Aleksiü, M., DaimlerChrysler, A.G.: Traffic state detection with floating car data in road networks. In: Proceedings of the 8th International IEEE Conference on Intelligent Transportation Systems, pp. 44–49 (2005)

4. Ozkurt, C., Camci, F.: Automatic traffic density estimation and vehicle classification for traffic surveillance systems using neural networks. Math. Computational Appl. 14(3), 187–196 (2009)

5. Horng, G.J., Li, J.P., Cheng, S.T.: Traffic congestion reduce mechanism by adaptive road routing recommendation in smart city. Inter. Conference Consumer Elect., Comm. Networks. 714–717 (2013)

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