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
专题复杂系统管理与控制国家重点实验室_先进控制与自动化
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.
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