Consistent Population Synthesis with Multi-Social Relationships Based on Tensor Decomposition
Peijun Ye1; Fenghua Zhu1; Samer Sabri2; Fei-Yue Wang1
Source PublicationIEEE Transactions on Intelligent Transportation Systems
2019
Volume00Issue:00Pages:00
SubtypeRegular Paper
Abstract

Social relationships have a strong influence on individual travel behavior and, consequently, on travel demand. However, most current literatures on population synthesis, which is the fundamental building block of disaggregated travel demand forecasting and agent-based traffic simulation, only considers the household impact. This paper makes two contributions in this regard. First, a methodological issue is identified: the existence of multiple social relationships (e.g., a dual set of constraints from social institutions or structures) makes it more difficult to generate a consistent synthetic population, meaning that this population satisfies constraints from more than one type of social organizations. A tensor decomposition method is then proposed to generate a consistent population with multi-social relationships. To our knowledge, this is the first time that this type of methodological issue has been addressed. Our sample-based method constitutes an improvement compared to existing approaches in that it can respect constraints from multiple social organizations without reducing accuracy. A numerical test concerning individual, household, and enterprise, using Chinese national population and economic census data, indicates that the new method can lead to stable and relatively small errors in total. The source code is available from https://github.com/PeijunYe/MulSocPopSyn.git.

KeywordPopulation Synthesis Multiple Social Relationships Tensor Decomposition Agent-based Simulation
Indexed BySCIE
Language英语
Funding ProjectNational Natural Science Foundation of China[U1811463] ; National Natural Science Foundation of China[61533019] ; National Natural Science Foundation of China[61603381] ; National Natural Science Foundation of China[61603381] ; National Natural Science Foundation of China[61533019] ; National Natural Science Foundation of China[U1811463]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/26144
Collection复杂系统管理与控制国家重点实验室_先进控制与自动化
Corresponding AuthorFei-Yue Wang
Affiliation1.Institute of Automation, Chinese Academy of Sciences, Beijing, China
2.University of California at San Diego, CA, USA
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Peijun Ye,Fenghua Zhu,Samer Sabri,et al. Consistent Population Synthesis with Multi-Social Relationships Based on Tensor Decomposition[J]. IEEE Transactions on Intelligent Transportation Systems,2019,00(00):00.
APA Peijun Ye,Fenghua Zhu,Samer Sabri,&Fei-Yue Wang.(2019).Consistent Population Synthesis with Multi-Social Relationships Based on Tensor Decomposition.IEEE Transactions on Intelligent Transportation Systems,00(00),00.
MLA Peijun Ye,et al."Consistent Population Synthesis with Multi-Social Relationships Based on Tensor Decomposition".IEEE Transactions on Intelligent Transportation Systems 00.00(2019):00.
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