Multivariable-Unistep Prediction of Travel Times in Public Transport Buses Using LSTM and Convolutional LSTM

Author:

Carcausto-Mamani Elizon F.ORCID,Rojas-Cahuana Etson R.ORCID,Alvarez-Mamani EdwinORCID,Vera-Olivera HarleyORCID

Publisher

Springer Nature Switzerland

Reference17 articles.

1. Altinkaya, M., Zontul, M.: Urban bus arrival time prediction: a review of computational models. International Journal of Recent Technology and Engineering (IJRTE) 2(4), 164–169 (2013). https://citeseerx.ist.psu.edu/document?repid=rep1 &type=pdf &doi=34e59070faa4472fb94e3d3413c897f5ad409b11

2. Alvarez Mamani, E.: Sistema de transporte inteligente (sti), para el control y monitoreo del servicio urbano en la ciudad del cusco (2018)

3. Chollet, F.: others.(2015). keras. github (2007). https://github.com/keras-team/keras

4. Duan, Y., L.V., Y., Wang, F.Y.: Travel time prediction with lstm neural network. In: 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), pp. 1053–1058 (2016). https://doi.org/10.1109/ITSC.2016.7795686

5. Gers, F.A., Schmidhuber, J., Cummins, F.: Learning to forget: continual prediction with LSTM. Neural Comput. 12(10), 2451–2471 (2000)

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