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	UrbanCPS: a Cyber-Physical System based on Multi-source BigInfrastructure Data with Heterogenous Model Integration
	Desheng Zhang; Juanjuan Zhao; Fan Zhang; Tian He
	2015
会议名称	ACM/IEEE International Conference on Cyber-Physical SystemsCyber-physical systems(ICCPS)
会议地点	Seattle, USA
英文摘要	Data-driven modeling usually suffers from data sparsity,especially for large-scale modeling for urban phenomena based on single-source urban infrastructure data under fine-grained spatial-temporal contexts. To address this challenge, we motivate, design and implement UrbanCPS, a cyber-physical system with heterogeneous model integration, based on extremely-large multi-source infrastructures in a Chinese city Shenzhen, involving 42 thousand vehicles, 10 million residents, and 16 million smartcards. Based on spatial and contextual contexts, we formulate an optimization problem about how to optimally integrate models based on highly-diverse datasets, under three practical issues, i.e., heterogeneity of models, input data sparsity or unknown ground truth. Based on an integration of five models, we propose a real-world application called Speedometer, inferring real-time traffic speeds in urban areas. The evaluation results show that compared to a -of-the-art real-world system, Speedometer increases the inference accuracy by 21% on average.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/6994]
专题	深圳先进技术研究院_数字所
作者单位	2015
推荐引用方式 GB/T 7714	Desheng Zhang,Juanjuan Zhao,Fan Zhang,et al. UrbanCPS: a Cyber-Physical System based on Multi-source BigInfrastructure Data with Heterogenous Model Integration[C]. 见:ACM/IEEE International Conference on Cyber-Physical SystemsCyber-physical systems(ICCPS). Seattle, USA.

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