Improving urban crowd flow prediction on flexible region partition

• Main Authors: WANG, Xu, ZHOU, Zimu, ZHAO, Yi, ZHANG, Xinglin, XING, Kai, XIAO, Fu, YANG, Zheng, LIU, Yunhao
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/5886; https://ink.library.smu.edu.sg/context/sis_research/article/6883/viewcontent/tmc20_wang.pdf
• Institution: Singapore Management University

Accurate forecast of citywide crowd flows on flexible region partition benefits urban planning, traffic management, and public safety. Previous research either fails to capture the complex spatiotemporal dependencies of crowd flows or is restricted on grid region partition that loses semantic contex...