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Heterogeneous Model Integration for Multi-Source Urban Infrastructure Data

Title
Heterogeneous Model Integration for Multi-Source Urban Infrastructure Data
Authors
Zhang, DeshengZhao, JuanjuanZhang, FanHe, TianLee, Haeng JuSon, Sang Hyuk
DGIST Authors
Lee, Haeng Ju; Son, Sang Hyuk
Issue Date
2017-02
Citation
ACM Transactions on Cyber-Physical Systems, 1(1), 1-26
Type
Article
Article Type
Article
Keywords
AlgorithmsModelExperimentationApplicationCyber-physical systemmodel integration
ISSN
2378-962X
Abstract
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 the Chinese city Shenzhen, involving 42,000 vehicles, 10 million residents, and 16 million smartcards. Based on temporal, spatial, and contextual contexts, we formulate an optimization problem about how to optimally integrate models based on highly diverse datasets under three practical issues, that is, heterogeneity of models, input data sparsity, or unknown ground truth. We further propose a real-world application called Speedometer, inferring real-time traffic speeds in urban areas. The evaluation results show that, compared to a state-of-the-art system, Speedometer increases the inference accuracy by 29% on average.
URI
http://hdl.handle.net/20.500.11750/6448
DOI
10.1145/2967503
Publisher
Association for Computing Machinary, Inc.
Related Researcher
  • Author   RTCPS(Real-Time Cyber-Physical Systems) Lab
  • Research Interests
Files:
There are no files associated with this item.
Collection:
ETC1. Journal Articles
Department of Information and Communication EngineeringRTCPS(Real-Time Cyber-Physical Systems) Lab1. Journal Articles


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