Urban computing: Concepts, methodologies, and applications

ACM Transactions on Intelligent Systems and Technology

Volumn 5, Issue 3, 2014, Pages

  Zheng, Yu ^a   Capra, Licia ^b   Wolfson, Ouri ^c   Yang, Hai ^d  

^a MICROSOFT RESEARCH   (United States)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

^d HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

Author keywords

Big data; City dynamics; Computing with heterogeneous data; Human mobility; Knowledge fusion; Trajectories; Urban computing; Urban informatics; Urban sensing

Indexed keywords

BIG DATA; DATA ANALYTICS; DATA FUSION; DATA VISUALIZATION; ENERGY UTILIZATION; INFORMATION MANAGEMENT; SOCIOLOGY; TRAFFIC CONGESTION; TRAJECTORIES;

HETEROGENEOUS DATA; HUMAN MOBILITY; KNOWLEDGE FUSION; URBAN COMPUTING; URBAN INFORMATICS; URBAN SENSING;

URBAN TRANSPORTATION;

EID: 84907023884     PISSN: 21576904     EISSN: 21576912     Source Type: Journal    
DOI: 10.1145/2629592     Document Type: Article

References (167)

1. C. Aggarwal. 2007. Data Streams: Models and Algorithms. Springer, New York.
2. G. Andrienko, N. Andrienko, S. Bremm, T. Schreck, T. V. Landesberger, P. Bak, and D. Keim. 2010. Spacein- time and time-in-space self-organizing maps for exploring spatiotemporal patterns. In Proceedings of the Eurographics/IEEE-VGTC Symposium on Visualization 2010.
3. N. Andrienko, G. Andrienko, and P. Gatalsky. 2003. Exploratory spatio-temporal visualization: An analytical review. Journal of Visual Languages and Computing 14, 6, 503-541.
4. R. Angles and C. Gutierrez. 2008. Survey of graph database models. ACM Computing Surveys 40, 1, 1-39.
5. F. J. Anscombe and I. Guttman. 1960. Rejection of outliers. Technometrics 2, 2, 123-147.
6. J. Bao, Y. Zheng, D. Wilkie, and M. F. Mokbel. 2012. Location-based and preference-aware recommendation using sparse geo-social networking data. In Proceedings of the 20th ACM SIGSPATIAL Conference on Advances in Geographic Information Systems. ACM, 199-208.
7. J. Bao, Y. Zheng, D. Wilkie, and M. F. Mokbel. 2014. A survey on recommendations in location-based social networks. Submitted to GeoInformatica, 2015.
8. F. Bastani, Y. Huang, X. Xie, and J.W. Powell. 2011. A greener transportation mode: flexible routes discovery from GPS trajectory data. In Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. ACM, 405-408
9. A. I. Bejan, R. J. Gibbens, D. Evans, A. R. Beresford, J. Bacon, and A. Friday. 2010. Statistical modeling and analysis of sparse bus probe data in urban areas. In Proceedings of the 13th IEEE International Conference on Intelligent Transportation Systems. IEEE, 1256-1263.
10. M. Berlingerio Calabrese, F. Giusy,D. Lorenzo, R.Nair, F. Pinelli, andM. L. Sbodio. 2013. AllAboard: A system for exploring urban mobility and optimizing public transport using cellphone data. In Proceedings of the 12th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Spring Press, 663-666.
11. P. Borgnat, E. Fleury, C. Robardet, and A. Scherrer. 2009. Spatial analysis of dynamic movements of VloV, Lyon's shared bicycle program. In Proceedings of the European Conference on Complex Systems.Warwick University, Coventry, UK.
12. J. Candia, M. C. González, P.Wang, T. Schoenharl, G.Madey, and A. L. Barabási. 2012. Uncovering individual and collective human dynamics from mobile phone records. Journal of Physics A: Mathematical and Theoretical 41, 22, 224015.
13. M. Castro-Neto, Y. S. Jeong, M. K. Jeong, and L. D. Han. 2009. Online-SVR for short-term traffic prediction under typical and atypical traffic conditions. Expert Systems with Applications 36, 3, 6164-6173.
14. P. S. Castro, D. Zhang, C. Chen, S. Li, and G. Pan. 2013. From taxi GPS traces to social and community dynamics: A survey. ACM Computer Survey 46, 2, Article 17, 34 pages.
15. I. Ceapa, C. Smith, and L. Capra. 2012. Avoiding the crowds: Understanding tube station congestion patterns from trip data. In Proceedings of the 1st ACM SIGKDD International Workshop on Urban Computing. ACM, 134-141.
16. V. Chandola, A. Banerjee, and V. Kumar. 2009. Anomaly detection: A survey. ACM Computing Surveys 41, 3, 1-58.
17. S. Chawla, Y. Zheng, and J. Hu. 2012. Inferring the root cause in road traffic anomalies. In Proceedings of the 2012 IEEE International Conference on Data Mining. IEEE, 141-150.
18. X. Chen, Y. Zheng, Y. Chen, Q. Jin, W. Sun, E. Chang, and W. Y. Ma. 2014. Indoor air quality monitoring system for smart buildings. In Proceedings of the 16th ACM International Conference on Ubiquitous Computing. ACM.
19. Y. Chen, K. Jiang, Y. Zheng, C. Li, and N. Yu. 2009. Trajectory simplification method for location-based social networking services. In Proceedings of the 1st ACM GIS Workshop on Location-based Social Networking Services. ACM, 33-40.
20. Z. Chen, H. T. Shen, X. Zhou, Y. Zheng, and X. Xie. 2010. Searching trajectories by locations: An efficiency study. In ACM SIGMOD International Conference on Management of Data. ACM, 255-266.
21. J. Cranshaw, R. Schwartz, J. Hong, and N. Sadeh. 2012 The livehoods project: Utilizing social media to understand the dynamics of a city. Association for the Advancement of Artificial Intelligence.
22. J. Cranshaw, E. Toch, J. Hong, A. Kittur, and N. Sadeh. 2010. Bridging the gap between physical location and online social networks. In Proceedings of the 12th ACM international Conference on Ubiquitous Computing. ACM, 119-128.
23. S. Devarakonda, P. Sevusu, H. Liu, R. Liu, L. Iftode, and B. Nath. 2013. Real-time air quality monitoring through mobile sensing in metropolitan areas. In Proceeding of the 2nd ACM SIGKDD International Workshop on Urban Computing. ACM.
24. E. D'Hondt and S. Matthias. 2011. Participatory noise mapping. In Proceedings of the 9th International Conference on Pervasive Computing. Springer, 33-36.
25. D. Douglas and T. Peucker. 1973. Algorithms for the reduction of the number of points required to represent a line or its caricature. Canadian Cartographer 10, 2, 112-122.
26. I. Dusparic, C. Harris, A. Marinescu, V. Cahill, and S. Clarke. 2013. Multi-agent residential demand response based on load forecasting. In Proceedings of the IEEE Conference on Technologies for Sustainability -Engineering and the Environment.
27. E. Galvan-Lopez, A. Taylor, S. Clarke, and V. Cahill. 2014. Design of an automatic demand-side management system based on evolutionary algorithms. In Proceedings of the the 29th Annual ACM Symposium on Applied Computing, ACM, 24-28.
28. R. Gandia. 2012. City outlines travel diary plan to determine future transportation needs. Calgary Sun. Available at http://www.calgarysun.com/2012/01/11/city-outlines-travel-diary-plan-to-determine-futuretransportation-needs
29. Y. Ge, H. Xiong, A. Tuzhilin, K. Xiao, M. Gruteser, and M. Pazzani. 2010. An energy-efficient mobile recommender system. In Proceedings of 16th SIGKDD Conference on Knowledge Discovery and Data Mining. ACM, 899-908.
30. F. Giannotti, M. Nanni, D. Pedreschi, and F. Pinelli. 2007. Trajectory pattern mining. In Proceedings of the 13th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. ACM, 330-339.
31. D. Goldberg, N. David, M. O. Brain, and T. Douglas. 1992. Using collaborative filtering to weave an information tapestry. Communications of the ACM 35, 12, 61-70.
32. J. Goldman, K. Shilton, J. Burke,D. Estrin, M. Hansen,N. Ramanathan, S. Reddy, V. Samanta,M. Srivastava, and R. West. 2009. Participatory sensing: A citizen-powered approach to illuminating the patterns that shape our world. White paper.
33. M. C. González, C. A. Hidalgo, and A. L. Barabási. 2008. Understanding individual human mobility patterns. Nature 453, 7196, 779-782.
34. J. Gudmundsson and M. V. Kreveld. 2006. Computing longest duration flocks in trajectory data. In Proceedings of the 14th International Conference on Advances in Geographical Information Systems. ACM, 35-42.
35. J. Gudmundsson, M. V. Kreveld, and B. Speckmann. 2004. Efficient detection of motion patterns in spatiotemporal data sets. In the Proceedings of the 12th International Conference on Advances in Geographical Information Systems. ACM, 250-257.
36. A. Guehnemann, R. P. Schaefer, K. U. Thiessenhusen, and P.Wagner. 2004. Monitoring Traffic and Emissions by Floating Car Data. Institute of Transport Studies, Australia.
37. C. Faloutsos, T. G. Kolda, and J. Sun. 2007. Mining large time-evolving data using matrix and tensor tools. In Proceedings of the ICML 2007.
38. J. Froehlich, J. Neumann, and N. Oliver. 2009. Sensing and predicting the pulse of the city through shared bicycling. In Proceedings of the 21st International Joint Conference on Artificial Intelligence. 1420-1426.
39. Y. Fu, H. Xiong, Y. Ge, Z. Yao, and Y. Zheng. 2014. Exploiting geographic dependencies for real estate appraisal: A mutual perspective of rand clustering. In Proceedings of the 20th SIGKDD conference on Knowledge Discovery and Data Mining. ACM.
40. M. Haklay and P. Weber. 2008. Openstreetmap: User-generated street maps. Pervasive Computing 7, 4, 12-18.
41. S. Hanson and P. Hanson. 1980. Gender and urban activity patterns in Uppsala, Sweden. Geographical Review 70, 3, 291-299.
42. C. Harris, R. Doolan, I. Dusparic, A. Marinescu, V. Cahill, and S. Clarke. 2014. A distributed agent based mechanism for shaping of aggregate demand. In Proceedings of ENERGYCON 2014.
43. J. C. Herrera, D. Work, X. Ban, R. Herring, Q. Jacobson, and A. Bayen. 2010. Evaluation of traffic data obtained viaGPS-enabled mobile phones: The Mobile Century field experiment. Transportation Research C 18, 568-583.
44. R. Herring, A. Hofleitner, P. Abbeel, and A. Bayen. 2010. Estimating arterial traffic conditions using sparse probe data. In Proceedings of the 13th IEEE International Conference on Intelligent Transportation Systems. IEEE, 923-929.
45. V. J. Hodge and J. Austin. 2004. A survey of outlier detection methodologies. Artificial Intelligence Review 22, 2, 85-126.
46. L. Hong, Y. Zheng, D. Yung, J. Shang, and L. Zou. 2014. Detecting black holes and volcanoes in a spatiotemporal graph. Submitted to ICDE 2015.
47. D. Hristova, G. Quattrone, A. Mashhadi, and L. Capra. 2013. The life of the party: Impact of social mapping in OpenStreetMap. In Proceedings of the 7th AAAI Conference onWeblogs and Social Media. AAAI Press.
48. C. C. Hung, C.W. Chang, andW. C. PENG. 2009. Mining trajectory profiles for discovering user communities. In Proceedings of the 1st ACM SIGSPATIAL GIS Workshop on Location Based Social Networks. ACM, 1-8.
49. T. Hunter, R. Herring, P. Abbeel, and A. Bayen. 2009. Path and travel time inference from GPS probe vehicle data. In Proceedings of the International Workshop on Analyzing Networks and Learning with Graphs.
50. H. Jeung, M. Yiu, X. Zhou, C. Jensen, and H. Shen. 2008a. Discovery of convoys in trajectory databases. Proceedings of the VLDB Endowment 1, 1, 1068-1080.
51. H. Jeung, H. Shen, and X. Zhou. 2008b. Convoy queries in spatio-temporal databases. In Proceedings of the 24th International Conference on Data Engineering. IEEE, 1457-1459.
52. S. Jiang, G. Fiore, Y. Yang, J. Ferreira, E. Frazzoli, andM. C. González. 2013. A review of urban computing for mobile phone traces: Current methods, challenges and opportunities. In Proceedings of the 2nd SIGKDD Workshop on Urban Computing.
53. S. Jiang, J. Ferreira, and M. C. Gonzalez. 2012. Discovering urban spatial-temporal structure from human activity patterns. In Proceedings of the 1st ACM SIGKDD International Workshop on Urban Computing. ACM, 95-102.
54. A. Kaltenbrunner, R. Meza, J. Grivolla, J. Codina, and R. Banchs. 2010. Urban cycles and mobility patterns: exploring and predicting trends in a bicycle-based public transport system. IEEE Pervasive and Mobile Computing 6, 455-466.
55. E. Kanoulas, Y. Du, T. Xia, and D. Zhang. 2006. Finding fastest paths on a road network with speed patterns. In Proceedings of the 22nd International Conference on Data Engineering.
56. D. Karamshuk, A. Noulas, S. Scellato, V. M. Nicosia, and Cecilia. 2013. Geo-spotting: Mining online locationbased services for optimal retail store placement. In Proceedings of the 19th ACM International Conference on Knowledge Discovery and Data Mining. ACM, 793-801.
57. E. Keogh, J. Chu, S. D. Hart, and M. J. Pazzani. 2001. An on-line algorithm for segmenting time series. In Proceedings of the International Conference on Data Mining. IEEE, 289-296.
58. T. Kindberg, M. Chalmers, and E. Paulos. 2007. Gest editors' introduction: Urban computing. Pervasive Computing 6, 3, 18-20.
59. T. G. Kolda and B. W. Bader. 2009. Tensor decompositions and applications. SIAM Review 51, 3, 455-500.
60. V. Kostakos and E. O'Neill. 2008. Cityware:Urban computing to bridge online and real-world social networks. In Handbook of Research on Urban Informatics. Information Science Reference, Hershey, PA.
61. J. Krumm and E. Horvitz. 2006. Predestination: Inferring destinations from partial trajectories. In Proceedings of the 8th International Conference on Ubiquitous Computing. ACM, 243-260.
62. N. Lathia and L. Capra. 2011a. Mining mobility data to minimise travellers' spending on public transport. In Proceedings of the 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. ACM, 1181-1189.
63. N. Lathia and L. Capra. 2011b. How smart is your smartcard?Measuring travel behaviours, perceptions, and incentives. In Proceedings of the 13th ACM International Conference on Ubiquitous Computing. ACM, 291-300.
64. S. A. Lathia and L. Capra. 2012. Measuring the impact of opening the London shared bicycle scheme to casual users. Transportation Research Part C 22, 88-102.
65. N. Lathia, J. Froehlich, and L. Capra. 2010. Mining public transport usage for personalised intelligent transport systems. In Proceedings of the 10th IEEE International Conference on Data Mining. IEEE, 887-892.
66. R. Lee and K. Sumiya. 2010. Measuring geographical regularities of crowd behaviors for Twitter-based geosocial event detection. In Proceedings of ACM SIGSPATIAL GIS Workshop on Location Based Social Networks. ACM, 1-10.
67. D. Lee, H. Wang, R. Cheu, and S. Teo. 2004. Taxi dispatch system based on current demands and realtime traffic conditions. Transportation Research Record: Journal of the Transportation Research Board, 1882(1):193-200.
68. Z. Li, B. Ding, J. Han, and R.Kays. 2010. Swarm: Mining relaxed temporalmoving object clusters. Proceedings of the VLDB Endowment 3, 1-2, 723-734.
69. Q. Li, Y. Zheng, X. Xie, Y. Chen,W. Liu, and W.Ma. 2008. Mining user similarity based on location history. In Proceedings of the 16th International Conference on Advances in Geographic Information System. ACM.
70. W. Liu, Y. Zheng, S. Chawla, J. Yuan, and X. Xie. 2011. Discovering Spatio-Temporal Causal Interactions in Traffic Data Streams. In Proceedings of 17th SIGKDD conference on Knowledge Discovery and Data Mining. ACM Press:
71. B. Liu, Y. Fu, Z. Yao, and H. Xiong. 2013. Learning geographical preferences for point-of-interest recommendation. In Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM.
72. Y. Lou, C. Zhang, Y. Zheng, X. Xie, W. Wang, and Y. Huang. 2009. Map-matching for low-sampling-rate GPS trajectories. In Proceedings of the 17th ACM SIGSPATIAL Conference on Geographical Information Systems. ACM, 352-361.
73. G. Lukasz and Ö. M. Tamer. 2010. Data Stream Management. Morgan and Claypool.
74. S. Ma, Y. Zheng, andO.Wolfson. 2013. T-Share: A large-scale dynamic taxi ridesharing service. In Proceedings of IEEE International Conference on Data Engineering. IEEE.
75. N. Maratnia and R. A. de By. 2004. Spatio-temporal compression techniques for moving point objects. In Proceedings of the 9th International Conference on Extending Database Technology. IEEE, 765-782.
76. A. Mashhadi, G. Quattrone, and L. Capra. 2013. Putting ubiquitous crowd-sourcing into context. In Proceedings of the 16th ACM Conference on Computer Supported Cooperative Work and Social Computing. ACM, 611-622.
77. A. Marinescu, I. Dusparic, C. Harris, S. Clarke, and V. Cahill. 2014. A dynamic forecasting method for small scale residential electrical demand. In Proceedings of the International Joint Conference on Neural Networks. IEEE.
78. D. Martinoc, S. M. Bertolottoa, F. Ferruccic, T. Kechadi, and P. Compieta. 2007. Exploratory spatiotemporal data mining and visualization. Journal of Visual Languages and Computing 18, 3, 255-279.
79. M. Momtazpour, P. Butler, M. S. Hossain,M. Bozchalui,N. Ramakrishnan, and R. Sharma. 2013. Coordinated Clustering Algorithms to Support Charging Infrastructure Design for Electric Vehicles. In Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing.
80. A. Nakamura and N. Abe. 1998. Collaborative filtering using weighted majority prediction algorithms. In Proceedings of the 15th International Conference on Machine Learning. ACM, 395-403.
81. R. Nair, E. Miller-Hooks, R. Hampshire, and A. Busic. 2013. Large-scale bicycle sharing systems: Analysis of V'Elib. International Journal of Sustainable Transportation 7, 1, 85-106.
82. M. Nicolas, M. Stevens, M. E. Niessen, and L. Steels. 2009. NoiseTube: Measuring and mapping noise pollution with mobile phones. In Information Technologies in Environmental Engineering. Springer, Berlin, 215-228.
83. K. Nigam and R. Ghani. 2000. Analyzing the effectiveness and applicability of co-training. In Proceedings of the 9th International Conference on Information and Knowledge Management. ACM, 86-93.
84. S. J. Pan and Q. Yang. 2010. A survey on transfer learning. IEEE Transaction on Knowledge Discovery and Data Engineering, 22, 10, 1345-1359.
85. B. Pan, Y. Zheng, D. Wilkie, and C. Shahabi. 2013. Crowd sensing of traffic anomalies based on human mobility and social media. In Proceedings of the 21th ACM SIGSPATIAL Conference on Advances in Geographical Information Systems. ACM.
86. K. Panciera, R. Priedhorsky, T. Erickson, and L. Terveen. 2010. Lurking? Cyclopaths? A quantitative lifecycle analysis of user behavior in a Geowiki. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 1917-1926.
87. L. X. Pang, S. Chawla, W. Liu, and Y. Zheng. 2011. On mining anomalous patterns in road traffic streams. In Proceedings of the 7th International Conference on Advanced Data Mining and Applications. Springer, 237-251.
88. L. X. Pang, S. Chawla, W. Liu, and Y. Zheng. 2013. On Detection of Emerging Anomalous Traffic Patterns Using GPS Data. Data and Knowledge Engineering (DKE) 87, 357-373.
89. S. Phithakkitnukoon,M. Veloso, C. Bento, A. Biderman, and C. Ratti. 2010. Taxi-aware map: Identifying and predicting vacant taxis in the city. In Proceedings of the 1st International Joint Conference on Ambient Intelligence. 86.
90. D. Pfoser. 2008. Floating car data. In Encyclopedia of GIS. Springer.
91. D. Pfoser, S. Brakatsoulas, P. Brosch,M.Umlauft,N. Tryfona, and G. Tsironis. 2008. Dynamic travel time provision for road networks. In Proceedings of the 16th International Conference on Advances in Geographic Information Systems. ACM.
92. R. Priedhorsky, M. Masli, and L. Terveen. 2010. Eliciting and focusing geographic volunteer work. In Proceedings of the 13th ACM Conference on Computer Supported Cooperative Work and Social Computing. ACM, 61-70.
93. R. K. Rana, C. T. Chou, S. S. Kanhere, N. Bulusu, and W. Hu. 2013. Ear-phone: A context-aware noise mapping using smart phones. In eprint arXiv:1310.4270.
94. R. K. Rana, C. T. Chou, S. S. Kanhere, N. Bulusu, and W. Hu. 2010. Ear-phone: An end-to-end participatory urban noise mapping system. In Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks. ACM, 105-116.
95. C. Ratti, S. Sobolevsky, F. Calabrese, C. Andris, J. Reades, M. Martino, R. Claxton, and S. H. Strogatz. 2010. Redrawing the map of Great Britain from a network of humani. PLoS ONE 5, 12.
96. S. Rinzivillo, S. Mainardi, F. Pezzoni, M. Coscia, D. Pedreschi, and F. Giannotti. 2012. Discovering the geographical borders of human mobility. Künstl Intell 26, 253-260.
97. R. Rro. 1997. PARAFAC. Tutorial and applications. In Chemometrics and Intelligent Laboratory Systems 38, 2, 149-171.
98. J. Shang, Y. Zheng, W. Tong, and E. Chang. 2014. Inferring gas consumption and pollution emission of vehicles throughout a city. In Proceedings of 20th SIGKDD Conference on Knowledge Discovery and Data Mining. ACM.
99. S. Shaheen, S. Guzman, and H. Zhang. 2010. Bikesharing in Europe, the Americas, and Asia: Past, present, and future. In: 2010 Transportation Research Board Annual Meeting. Washington, DC, USA.
100. C. Sheng, Y. Zheng, W. Hsu, M. L. Lee, and X. Xie. 2010. Answering top-k Similar Region Queries. In Proceedings of the Database Systems for Advanced Applications. Springer, 186-201.
101. S. Silvia, B. Ostermaier, and A. Vitaletti. 2008. First experiences using wireless sensor networks for noise pollution monitoring. In Proceedings of the Workshop on Real-World Wireless Sensor Networks. ACM, 61-65.
102. R. Song, W. Sun, B. Zheng, Y. Zheng, C. Tu, and S. Li. 2014. PRESS: A novel framework of trajectory compression in road networks. In Proceedings of 40th International Conference on Very Large Data Bases.
103. X. Song, Q. Zhang, Y. Sekimoto, Horanont, T. S. Ueyama, and R. Shibasaki. 2013. Modeling and probabilistic reasoning of population evacuation during large-scale disaster. In Proceedings of the 19th SIGKDD Conference on Knowledge Discovery and Data Mining. ACM, 1231-1239.
104. Y. Sun, R. Zhang, and Y. Zheng. 2014. Spatial aggregate queries in location-based social networks. Submitted to SIGMOD.
105. L. A. Tang, Y. Zheng, X. Xie, J. Yuan, X. Yu, and J. Han. 2011. Retrieving k-nearest neighboring trajectories by a set of point locations. In Proceedings of the 12th Symposium on Spatial and Temporal Databases. Volume 6849, Springer, 223-241.
106. L. A. Tang, Y. Zheng, J. Yuan, J. Han, A. Leung, W.-C. Peng, T. L. Porta, and L. Kaplan. 2013. A framework of traveling companion discovery on trajectory data streams. ACM Transaction on Intelligent Systems and Technology 2013.
107. L. A. Tang, Y. Zheng, J. Yuan, J. Han, A. Leung, C. C. Hung, and W.C. Peng. 2012. Discovery of traveling companions from streaming trajectories. In Proceedings of the 28th IEEE International Conference on Data Engineering. IEEE, 186-197.
108. Y. Theodoridis, M. Vazirgiannis, and T. K. Sellis. 1996. Spatio-temporal indexing for large multimedia applications. In Proceedings of the 3rd International Conference on Multimedia Computing and Systems. IEEE, 441-448.
109. A. Thiagarajan, L. Ravindranath, K. LaCurts, S. Madden, H. Balakrishnan, S. Toledo, and J. Eriksson. 2009. VTrack: Accurate, energy-aware road traffic delay estimation using mobile phones. In Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems.
110. J. L. Toole, M. Ulm, M. C. González, and D. Bauer. 2012. Inferring land use from mobile phone activity. In Proceedings of the ACM SIGKDD International Workshop on Urban Computing. ACM, 1-8.
111. J. Tulusan, T. Staake, and E. Fleisch. Providing eco-driving feedback to corporate car drivers: What impact does a smartphone application have on their fuel efficiency? In Proceedings of the 14th ACM Conference on Ubiquitous Computing. ACM, 212-215.
112. S. Wakamiya, R. Lee, and K. Sumiya. 2012. Crowd-sourced urban life monitoring: Urban area characterization based crowd behavioral patterns from Twitter. In Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication. Article No. 26.
113. M. Wand and M. Jones. 1995. Kernel Smoothing, volume 60. Chapman and Hall/CRC.
114. L. Wang, Y. Zheng, X. Xie, and W. Y. Ma. 2008. A flexible spatio-temporal indexing scheme for large-scale GPS track retrieval. In Proceedings of the 9th International Conference on Mobile Data Management. IEEE, 1-8.
115. L.Wang, Y. Zheng, and Y. Xue. 2014. Travel time estimation of a path using sparse trajectories. In Proceedings of the 20th SIGKDD Conference on Knowledge Discovery and Data Mining. ACM.
116. K. Watkins, B. Ferris, A. Borning, S. Rutherford, and D. Layton. 2011. Where is my bus? Impact of mobile real-time information on the perceived and actual wait time of transit riders. Transportation Research Part A 45, 839-848.
117. L. Y. Wei, Y. Zheng, and W. C. Peng. 2012. Constructing popular routes from uncertain trajectories. In Proceedings of the 18th SIGKDD Conference on Knowledge Discovery and Data Mining. ACM, 195-203.
118. X. Xiao, Y. Zheng, Q. Luo, and X. Xie. 2010. Finding similar users using category-based location history. In Proceedings of the 18th ACM SIGSPATIAL Conference on Advances in Geographical Information Systems. ACM, 442-445.
119. X. Xiao, Y. Zheng, Q. Luo, and X. Xie. 2012. Inferring social ties between users with human location history. Journal of Ambient Intelligence and Humanized Computing. December 5, 1, 3-19.
120. X. Xu, J. Han, and W. Lu. 1999. RT-tree: An improved R-tree index structure for spatio-temporal databases. In Proceedings of the 4th International Symposium on Spatial Data Handling. 1040-1049.
121. A. Y. Xue, R. Zhang, Y. Zheng, X. Xie, J. Huang, and Z. Xu. 2013. Destination prediction by sub-trajectory synthesis and privacy protection against such prediction. In Proceedings of the 29th IEEE International Conference on Data Engineering. IEEE, 254-265.
122. K. Yamamoto, K. Uesugi, and T. Watanabe. 2010. Adaptive routing of cruising taxis by mutual exchange of pathways. Knowledge-Based Intelligent Information and Engineering Systems, volume 5178. Springer, 559-566.
123. M. Ye, Y. Yin, W. Q. Lee, and D. L. Lee. 2011. Exploiting geographical influence for collaborative point-ofinterest recommendation. In Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM.
124. Z. Yin, L. Cao, J. Han, C. Zhai, and T. Huang. 2011. Geographical topic discovery and comparison. In Proceedings of the 20th International Conference on World Wide Web. ACM, 247-256.
125. H. Yoon, Y. Zheng, X. Xie, and W. Woo. 2010. Smart itinerary recommendation based on user-generated GPS trajectories. In Proceedings of the 7th Ubiquitous Intelligence and Computing. 6406. Springer, 19-34.
126. H. Yoon, Y. Zheng, X. Xie, and W. Woo. 2011. Social itinerary recommendation from user-generated digital trails. Journal on Personal and Ubiquitous Computing 16, 5, 469-484.
127. N. J. Yuan, Y. Zheng, L. Zhang, and X. Xie. 2014. T-Finder: A recommender system for finding passengers and vacant taxis. IEEE Transactions on Knowledge and Data Engineering.
128. J. Yuan, Y. Zheng, L. Zhang, X. Xie, and G. Sun. 2011a. Where to find my next passenger? In Proceedings of 13th ACM International Conference on Ubiquitous Computing. ACM, 109-118.
129. J. Yuan, Y. Zheng, and X. Xie. 2012a. Discovering regions of different functions in a city using human mobility and POIs. In Proceedings of 18th SIGKDD Conference on Knowledge Discovery and Data Mining. ACM, 186-194.
130. N. J. Yuan, Y. Zheng, and X. Xie. 2012b. Segmentation of urban areas using road networks. MSR-TR-2012-65.
131. J. Yuan, Y. Zheng, X. Xie, and G. Sun. 2011b. Driving with knowledge from the physical world. In Proceedings of 17th SIGKDD Conference on Knowledge Discovery and Data Mining. ACM, 316-324.
132. N. J. Yuan, F. Zhang, D. Lian, K. Zheng, S. Yu, and X. Xie. 2013a. We know how you live: Exploring the spectrum of urban lifestyles. In Proceedings of the ACM Conference on Online Social Networks. ACM, 3-14.
133. J. Yuan, Y. Zheng, X. Xie, and G. Sun. 2013b. T-Drive: Enhancing driving directions with taxi drivers' intelligence. Transactions on Knowledge and Data Engineering 25, 1, 220-232.
134. J. Yuan, Y. Zheng, C. Zhang, W. Xie, X. Xie, G. Sun, and Y. Huang. 2010a. T-Drive: Driving directions based on taxi trajectories. In Proceedings of ACM SIGSPATIAL Conference on Advances in Geographical Information Systems. ACM, 99-108.
135. J. Yuan, Y. Zheng, C. Zhang, X. Xie, and G. Sun. 2010b. An interactive-voting based map matching algorithm. In Proceedings of the International Conference on Mobile Data Management. IEEE Press, 43-52.
136. F. Zhang, D.Wilkie, Y. Zheng, and X. Xie. 2013. Sensing the pulse of urban refueling behavior. In Proceedings of the 15th International Conference on Ubiquitous Computing. ACM, 13-22.
137. Y. Zheng. 2012a. Tutorial on location-based social nNetworks. In Proceedings of International conference on World Wide Web.
138. Y. Zheng. 2011a. Location-based social networks: Users. In Computing with Spatial Trajectories, Y. Zheng and X. Zhou, Eds. Springer, 243-276.
139. W. C. Zheng, B. Cao, Y. Zheng, X. Xie, and Q. Yang. 2010a. Collaborative filtering meets mobile recommendation: A user-centered approach. In Proceedings of the AAAI Conference on Artificial Intelligence. AAAI, 236-241
140. Y. Zheng, X. Chen, Q. Jin, Y. Chen, X. Qu, X. Liu, E. Chang, W.-Y. Ma, Y. Rui, and W. Sun. 2014a. A Cloud-Based Knowledge Discovery System for Monitoring Fine-Grained Air Quality. MSR-TR-2014-40.
141. Y. Zheng, Y. Chen, Q. Li, X. Xie, and W. Y. Ma. 2010b. Understanding transportation modes based on GPS data for web applications. ACM Transactions on the Web 4, 1, 1-36.
142. Y. Zheng, Y. Chen, X. Xie, and W. Y. Ma. 2009a. GeoLife2.0: A location-based social networking service. In Proceedings of International Conference on Mobile Data Management 2009. IEEE, 357-358.
143. Y. Zheng, X. Feng, X. Xie, S. Peng, and J. Fu. 2010c. Detecting nearly duplicated records in location datasets. In Proceedings of 18th ACMSIGSPATIAL Conference on Advances in Geographical Information Systems. ACM, 137-143.
144. Y. Zheng and J. Hong. 2012b. Proceedings of the 4th International Workshop on Location-Based Social Networks. In conjunction with UbiComp 2012.
145. Y. Zheng, S. E. Koonin, and O. Wolfson. 2013a. In Proceedings of the 2nd International Workshop on Urban Computing. ACM.
146. Y. Zheng, Q. Li, Y. Chen, X. Xie, and W. Y. Ma. 2008a. Understand mobility based GPS data. In Proceedings of the 10th International Conference on Ubiquitous Computing. ACM, 312-321.
147. Y. Zheng, L. Liu, L.Wang, and X. Xie. 2008b. Learning transportationmode from raw GPS data for geographic applications on the Web. In Proceedings of the 11th International Conference on World Wide Web. ACM, 247-256.
148. Y. Zheng, F. Liu, and H. P. Hsieh. 2013b. U-Air: When urban air quality inference meets big data. In Proceedings of 19th SIGKDD Conference on Knowledge Discovery and Data Mining. ACM, 1436-1444.
149. Y. Zheng, T. Liu, Y. Wang, Y. Zhu, and E. Chang. 2014b. Diagnosing New York City's noises with ubiquitous data. In Proceedings of the 16th International Conference on Ubiquitous Computing. ACM.
150. Y. Zheng, Y. Liu, J. Yuan, and X. Xie. 2011b. Urban computing with taxicabs. In Proceedings of the 13th International Conference on Ubiquitous Computing. ACM, 89-98.
151. Y. Zheng and M. F. Mokbel. 2011c. Proceedings of the 3rd International Workshop on Location-Based Social Networks. In conjunction with ACM SIGSPATIAL GIS 2011.
152. Y. Zheng, L. Wang, R. Zhang, X. Xie, and W. Y. Ma. 2008c. GeoLife: Managing and understanding your past life over maps. In Proceedings of the 9th International Conference on Mobile Data Management. IEEE, 211-212.
153. Y. Zheng and O. Wolfson. 2012c. Proceedings of the 1st International Workshop on Urban Computing. In conjunction with KDD 2012.
154. Y. Zheng and X. Xie. 2010d. GeoLife: A collaborative social networking service among user, location and trajectory. IEEE Data Engineering Bulletin 33, 2, 32-40.
155. Y. Zheng, X. Xie, and W. Y. Ma. 2008d. Search your life over maps. In Proceedings of the International Workshop on Mobile Information Retrieval. 24-27.
156. Y. Zheng and X. Xie. 2009b. Learning location correlation from GPS trajectories. In Proceedings of the International Conference on Mobile Data Management. IEEE, 27-32.
157. Y. Zheng and X. Xie. 2011d. Learning travel recommendations from user-generated GPS traces. ACM Transactions on Intelligent Systems and Technology 2, 1, 2-19.
158. Y. Zheng and X. Xie. 2011e. Location-based social networks: Locations. In Computing with Spatial Trajectories, Y. Zheng and X. Zhou, Eds. Springer, 277-308.
159. Y. Zheng, L. Zhang, X. Xie, andW. Y. Ma. 2009c. Mining interesting locations and travel sequences from GPS trajectories. In Proceedings of the 18th International Conference on World Wide Web. ACM, 791-800.
160. Y. Zheng, L. Zhang, Z. Ma, X. Xie, and W. Y. Ma. 2010e. Recommending friends and locations based on individual location history. In ACM Transactions on the Web 5, 1, Article 5.
161. W. C. Zheng, Y. Zheng, X. Xie, and Q. Yang. 2010f. Collaborative location and activity recommendations with GPS history data. In Proceedings of the 19th International Conference on World Wide Web. ACM, 1029-1038.
162. W. C. Zheng, Y. Zheng, X. Xie, and Q. Yang. 2012d. Towards mobile intelligence: Learning from GPS history data for collaborative recommendation. Artificial Intelligence Journal 184-185, 17-37.
163. K. Zheng, Y. Zheng, N. J. Yuan, S. Shang, and X. Zhou. 2014. Online Discovery of Gathering Patterns over Trajectories. IEEE Transactions on Knowledge Discovery and Engineering.
164. K. Zheng, Y. Zheng, N. J. Yuan, and S. Shang. 2013b. On discovery of gathering patterns from trajectories. In Proceedings of the 29th IEEE International Conference on Data Engineering. IEEE, 242-253.
165. Y. Zheng and X. Zhou. 2011f. Computing with Spatial Trajectories. Springer.
166. Xiaojin. Zhu. 2008. Semi-Supervised Learning Literature Survey. Computer Sciences, University of Wisconsin-Madison (2008).
167. J. Zimmerman, A. Tomasic, C. Garrod, D. Yoo, C. Hiruncharoenvate, R. Aziz, N. R. Thiruvengadam, Y. Huang, and A. Steinfeld. 2011. Field trial of Tiramisu: Crowd-sourcing bus arrival times to spur co-design. In Proceedings of the 2011 Annual Conference on Human Factors in Computing Systems. ACM, 1677-1686.