Highway Traffic Estimation using Nonlinear Kalman Filtering
Author:
Funder
Unit of Industrial Automation / Industrial Systems Institute
Publisher
Springer Science and Business Media LLC
Link
http://link.springer.com/article/10.1007/s40903-017-0074-0/fulltext.html
Reference34 articles.
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3. Rigatos, G., Siano, P., Melkikh A., Zervos N.: Highway traffic estimation of improved precision ising the Derivative-free Nonlinear Kalman Filter, ICCMSE 2015, 11th International Conference on Computational Methods in Science and Engineering, Athens, Greece, March 2015
4. Kong, Q.J., Li, Z., Chen, Y., Liu, Y.: An approach to urban traffic state estimation by fusing multi-source information. IEEE Trans. Intell. Transp. Syst. 10(3), 499–511 (2009)
5. Perera, L.P., Oliveira, P., Soares, C.G.: Maritime traffic monitoring based on vessel detection, tracking, state estimation and trajectory prediction. IEEE Trans. Intell. Transp. Syst. 13(3), 1188–1200 (2012)
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