| Understanding multiple days’ metro travel demand at aggregate level | |
| Duan, Zhengyu*; Lei, Zengxiang; Zhang, Michael; Li, Haifeng; Yang, Dongyuan | |
| 刊名 | IET Intelligent Transport Systems
 |
| 2019 | |
| 卷号 | 13期号:5页码:756-763 |
| 关键词 | traffic engineering computing singular value decomposition intelligent transportation systems data analysis day-to-day variation day-to-day regularity metro networks daily metro travel demand short-term travel demand prediction aggregate level singular value decomposition intrinsic structure metro operation schedule origin-destination matrix |
| ISSN号 | 1751-956X |
| DOI | 10.1049/iet-its.2018.5004 |
| URL标识 | 查看原文 |
| WOS记录号 | WOS:000467434200002 |
| 内容类型 | 期刊论文 |
| URI标识 | http://www.corc.org.cn/handle/1471x/3327872 |
| 专题 | 中南大学 |
| 作者单位 | 1.[Yang, Dongyuan 2.Duan, Zhengyu] Tongji Univ, Minist Educ, Key Lab Rd & Traff Engn, 4800 Caoan Rd, Shanghai 201804, Peoples R China. |
| 推荐引用方式 GB/T 7714 | Duan, Zhengyu*,Lei, Zengxiang,Zhang, Michael,et al. Understanding multiple days’ metro travel demand at aggregate level[J]. IET Intelligent Transport Systems,2019,13(5):756-763. |
| APA | Duan, Zhengyu*,Lei, Zengxiang,Zhang, Michael,Li, Haifeng,&Yang, Dongyuan.(2019).Understanding multiple days’ metro travel demand at aggregate level.IET Intelligent Transport Systems,13(5),756-763. |
| MLA | Duan, Zhengyu*,et al."Understanding multiple days’ metro travel demand at aggregate level".IET Intelligent Transport Systems 13.5(2019):756-763. |
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