Spatiotemporal multi-Task learning for citywide passenger flow prediction | |
Zhong, R.; Lv, W.; Du, B.; Lei, S.; Huang, R. | |
2018 | |
会议名称 | 2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - |
关键词 | Forecasting Information management Learning systems Smart city Ubiquitous computing Automated fare collection Heterogeneous data Multitask learning Passenger flow predictions Regional characteristics Spatiotemporal correlation Traffic capacity Traffic management Big data |
页码 | 1-8 |
URL标识 | 查看原文 |
内容类型 | 会议论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/5930940 |
专题 | 北京航空航天大学 |
推荐引用方式 GB/T 7714 | Zhong, R.,Lv, W.,Du, B.,et al. Spatiotemporal multi-Task learning for citywide passenger flow prediction[C]. 见:2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 -. |
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