City traffic forecast based on deep learning
In this paper the long-term and short-term memory(LSTM)model and the DeepST-ResNet model were both studied and analyzed. Based on the real data of Xi' an Didi travel, the above models were compared and tested to analyze the advantages and disadvantages of each model according to which a better model...
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| Главные авторы: | , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Academic Journals Center of Shanghai Normal University
2021-01-01
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| Серии: | 上海师范大学学报. 自然科学版 |
| Предметы: | |
| Online-ссылка: | http://shnu.ijournals.cn/zrkxb/shsfqkszrb/ch/reader/view_abstract.aspx?file_no=20210117 |
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