The effect of the dataset on evaluating urban traffic prediction

Author:

Hou Yue,Chen Jiaxing,Wen Sheng

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Engineering

Reference71 articles.

1. B. Liao, J. Zhang, C. Wu, et al., Deep Sequence Learning with Auxiliary Information for Traffic Prediction[J], 2018.

2. Deep Spatial-Temporal 3D Convolutional Neural Networks for Traffic Data Forecasting[J];Guo;IEEE Trans. Intell. Transp. Syst.,2019

3. Improvement of Search Strategy With K-Nearest Neighbors Approach for Traffic State Prediction[J];Oh;IEEE Trans. Intell. Transp. Syst.,2015

4. An Evaluation of HTM and LSTM for Short-Term Arterial Traffic Flow Prediction[J];Mackenzie;IEEE Trans. Intell. Transp. Syst.,2018

5. K.C. Chu, R. Saigal, K. Saitou, Real-Time Traffic Prediction and Probing Strategy for Lagrangian Traffic Data[J], IEEE Trans. Intell. Transport. Syst., 2018, PP(99):1-10.

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