Review and comparison of prediction algorithms for the estimated time of arrival using geospatial transportation data

Author:

Al-Naim Rami,Lytkin Yuriy

Funder

Russian Science Foundation

Publisher

Elsevier BV

Subject

General Engineering

Reference33 articles.

1. PREDICTION OF BUS TRAVEL TIME USING ARTIFICIAL NEURAL NETWORK;Amita;INTERNATIONAL JOURNAL FOR TRAFFIC AND TRANSPORT ENGINEERING,2015

2. Cao, J., 2016. Effects of parking on urban traffic performance. Ph.D. thesis. ETH Zurich.

3. Chollet, F., Others, 2015. Keras. https://github.com/fchollet/keras.

4. Dong Wang Junbo Zhang, W.C.J.L.Y.Z., 2018. DeepTTE. https://github.com/UrbComp/DeepTTE.

5. The impact of rainfall and temperature on peak and off-peak urban traffic;Essien;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),2018

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