Exploring urban dynamics based on pervasive sensing: correlation analysis of traffic density and air quality

Proceedings - 6th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2012

Volumn , Issue , 2012, Pages 9-16

  Zhang, Wenzhu ^a   Zhu, Bing ^a   Zhang, Lin ^a   Yuan, Jian ^a   You, Ilsun ^b  

^a TSINGHUA UNIVERSITY   (China)

^b Korean Bible University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

CITY MANAGEMENT; COMPLEX ENTITIES; CORRELATION ANALYSIS; CYBERSPACES; DATA SETS; DYNAMIC PROPERTY; ENVIRONMENTAL CHANGE; HUMAN ACTIVITIES; LARGE POPULATION; MANIFOLD LEARNING; PERVASIVE SENSING; PHYSICAL PROCESS; PHYSICAL WORLD; QUANTITATIVE STUDY; SPATIAL TEMPORALS; TRAFFIC DENSITIES; URBAN DYNAMICS; URBAN SENSING;

ALGORITHMS; DATA PROCESSING; INTERNET; MOBILE AGENTS; SENSOR NETWORKS; SENSORS; TAXICABS; UBIQUITOUS COMPUTING;

AIR QUALITY;

EID: 84867701478     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IMIS.2012.137     Document Type: Conference Paper

References (14)

1. I. Benenson, "Modeling population dynamics in the city: from a regional to a multi-agent approach," Discrete Dynamics in Nature and Society, vol. 3, pp. 149-170, 1999.
2. S. Gaonkar, J. Li, R. R. Choudhury, L. Cox, and A. Schmidt, "Micro-blog: sharing and querying content through mobile phones and social participation," in Proceedings of the 6th international conference on Mobile systems, applications, and services, ser. MobiSys '08. New York, NY, USA: ACM, 2008, pp. 174-186.
3. M. Mun, S. Reddy, K. Shilton, N. Yau, J. Burke, D. Estrin, M. Hansen, E. Howard, R. West, and P. Boda, "Peir, the personal environmental impact report, as a platform for participatory sensing systems research," in Proceedings of the 7th international conference on Mobile systems, applications, and services, ser. MobiSys '09. New York, NY, USA: ACM, 2009, pp. 55-68.
4. P. Mohan, V. N. Padmanabhan, and R. Ramjee, "Nericell: using mobile smartphones for rich monitoring of road and traffic conditions," in Proceedings of the 6th ACM conference on Embedded network sensor systems, ser. SenSys '08. New York, NY, USA: ACM, 2008, pp. 357-358.
5. B. Hull, V. Bychkovsky, Y. Zhang, K. Chen, M. Goraczko, A. Miu, E. Shih, H. Balakrishnan, and S. Madden, "Cartel: a distributed mobile sensor computing system," in Proceedings of the 4th international conference on Embedded networked sensor systems, ser. SenSys '06. New York, NY, USA: ACM, 2006, pp. 125-138.
6. U. Lee, E. Magistretti, M. Gerla, P. Bellavista, and A. Corradi, "Dissemination and harvesting of urban data using vehicular sensing platforms," Vehicular Technology, IEEE Transactions on, vol. 58, no. 2, pp. 882-901, feb. 2009.
7. S. Poslad, Ubiquitous Computing: Smart Devices, Environments and Interactions. London: John Wiley and Sons Ltd, 2009.
8. X. Yu, H. Zhao, L. Zhang, S. Wu, B. Krishnamachari, and V. O. K. Li, "Cooperative sensing and compression in vehicular sensor networks for urban monitoring," in Communications (ICC), 2010 IEEE International Conference on, may 2010, pp. 1-5.
9. B. Xia, Q. Fu, D. Li, and L. Zhang, "Performance evaluation and channel modeling of ieee 802.15.4c in urban scenarios," in Communications (APCC), 2010 16th Asia-Pacific Conference on, 31 2010-nov. 3 2010, pp. 497-502.
10. Q. Fu, W. Feng, Y. Zheng, and L. Zhang, "Dawn: A density adaptive routing algorithm for vehicular delay tolerant sensor networks," in Forty-Ninth Annual Allerton Conference on Communication, Control, and Computing, 2011.
11. W. Zhang, L. Zhang, Y. Ding, T. Miyaki, D. Gordon, and M. Beigl, "Mobile sensing in metropolitan area: Case study in beijing," in Mobile Sensing Workshop in 13th International Conference on Ubiquitous Computing (UbiComp'11), 2011.
12. S. Haykin, Neural Networks and Learning Machines, Third Edition. Prentice Hall, 2009.
13. A. N. Tikhonov, Solutions of Ill-Posed Problems. New York: Winston, 1977.
14. M. Belkin, P. Niyogi, and V. Sindhwani, "Manifold regularization: A geometric framework for learning from labeled and unlabeled examples," J. Mach. Learn. Res., vol. 7, pp. 2399-2434, December 2006.