Exploring Human Mobility with Multi-Source Data at Extremely Large Metropolitan Scales
Zhang, Desheng; Huang, Jun; Li, Ye; Zhang, Fan; Xu, Chengzhong; He, Tian
2014
会议名称20th ACM Annual International Conference on Mobile Computing and Networking, MobiCom 2014
会议地点Paris, France
英文摘要Expanding our knowledge about human mobility is essential for building efficient wireless protocols and mobile applications. Previous human mobility studies have typically been built upon empirical single-source data (e.g., cellphone or transit data), which inevitably introduces a bias against residents not contributing this type of data, e.g., call detail records cannot be obtained from the residents without cellphone activities, and transit data cannot cover the residents who walk or ride private vehicles. To address this issue, we propose and implement a novel architecture mPat to explore human mobility using multi-source data. A reference implementation of mPat was developed at an unprecedented scale upon the urban infrastructures of Shenzhen, China. The novelty and uniqueness of mPat lie in its three layers: (i) a data feed layer consisting of real-time data feeds from 24 thousand vehicles, 16 million smart cards and 10 million cellphones; (ii) a mobility abstraction layer exploring the correlation and divergence among the multi-source data to analyze and infer human mobility; and (iii) an application layer to improve urban efficiency based on the human mobility findings of the study. The evaluation shows that mPat achieves a 75% inference accuracy, and that its real-world application reduces passenger travel time by 36%. Copyright © 2014 by the Association for Computing Machinery, Inc. (ACM).(17 refs)
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/172644/6057]  
专题深圳先进技术研究院_数字所
作者单位2014
推荐引用方式
GB/T 7714
Zhang, Desheng,Huang, Jun,Li, Ye,et al. Exploring Human Mobility with Multi-Source Data at Extremely Large Metropolitan Scales[C]. 见:20th ACM Annual International Conference on Mobile Computing and Networking, MobiCom 2014. Paris, France.
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