A Robust Hybrid Model Based on Kalman-SVM for Bus Arrival Time Prediction-Reference-Cited by-同舟云学术

A Robust Hybrid Model Based on Kalman-SVM for Bus Arrival Time Prediction

Published:2019-11-02 Issue: Volume: Page:511-519
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Hashi Abdirahman Osman,Hashim Siti Zaiton Mohd,Anwar Toni,Ahmed Abdullahi

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-33582-3_48

Reference12 articles.

1. Balasubramanian, P., Rao, K.R.: An adaptive long-term bus arrival time prediction model with cyclic variations. J. Public Transp. 18(1), 6 (2015)

2. Yang, M., Chen, C., Wang, L., Yan, X., Zhou, L.: Bus arrival time prediction using support vector machine with genetic algorithm. Neural Netw. World 26(3), 205 (2016)

3. Zadeh, S.M.T.S., Anwar, T., Basirat, M.: A survey on application of artificial intelligence for bus arrival time prediction. J. Theoret. Appl. Inf. Technol. 46(1) (2012)

4. Zaki, M., Ashour, I., Zorkany, M., Hesham, B.: Online bus arrival time prediction using hybrid neural network and Kalman filter techniques. Int. J. Mod. Eng. Res. 3(4), 2035–2041 (2013)

5. Amita, J., Singh, J.S., Kumar, G.P.: Prediction of bus travel time using artificial neural network. Int. J. Traffic Transp. Eng. 1(5), 410–424 (2015)

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