Population Synthesis using Discrete Copulas

	Population Synthesis using Discrete Copulas
	Peijun Ye; Xiao Wang
	2018
会议名称	IEEE International Conference on Intelligent Transportation Systems (ITSC 2018)
会议日期	Nov. 4-7, 2018
会议地点	Maui, Hawaii, USA.
摘要	Synthetic population is one of the most important foundations of disaggregated travel demand forecasting and agent-based traffic simulation. This paper proposes a new sample-based method for synthetic population generation, which can be viewed as an alternative of the traditional Iterative Proportional Fitting. The method introduces bootstrapping techniques to compute a discrete copula function. Based on the copula function, associations among different attributes can be estimated and the population structure can be recovered. Experiments using actual Chinese national population data indicate that the new method can achieve the same level of accuracy as Iterative Proportional Fitting while acquire better results of the partial joint distributions.
收录类别	EI
语种	英语
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/21802
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
作者单位	Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100864, Peoples R China
推荐引用方式 GB/T 7714	Peijun Ye,Xiao Wang. Population Synthesis using Discrete Copulas[C],2018.