Name
Abstract | ||
|---|---|---|
•A new deep learning algorithm to predict daily long-term traffic flow data using contextual factors.•Deep neutral network to mine the relationship between traffic flow data and contextual factors.•Advanced batch training can effectively improve convergence of the training process. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.eswa.2018.12.031 | Expert Systems with Applications |
Keywords | Field | DocType |
Daily long-term traffic flow,Forecasting,Deep neural network,Contextual factor,Batch training | Data mining,Names of the days of the week,Traffic flow,Computer science,Human factors and ergonomics,Artificial intelligence,Supervised training,Artificial neural network,Traffic prediction,Accident prevention,Machine learning | Journal |
Volume | ISSN | Citations |
121 | 0957-4174 | 2 |
PageRank | References | Authors |
0.37 | 12 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Licheng Qu | 1 | 2 | 0.71 |
| Wei Li | 2 | 436 | 140.67 |
| Wenjing Li | 3 | 145 | 42.73 |
| dongfang ma | 4 | 8 | 2.90 |
| Yinhai Wang | 5 | 292 | 39.37 |