Anchor points seeking of large urban crowd based on the mobile billing data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6440 LNAI, Issue PART 1, 2010, Pages 346-357

  Huang, Wenhao ^a   Dong, Zhengbin ^a   Zhao, Nan ^a   Tian, Hao ^a   Song, Guojie ^a   Chen, Guanhua ^a   Jiang, Yun ^a   Xie, Kunqing ^a  

^a Peking University   (China)

Author keywords

anchor point; large crowd; mobile phone; OD information; spatial temporal pattern

Indexed keywords

ANCHOR POINT; CITY PLANNING; HIGH COSTS; LARGE CROWD; OD INFORMATION; RAPID DEVELOPMENT; SAMPLE RATE; SIMPLE ALGORITHM; SPATIAL TEMPORALS; TEMPORAL PATTERN; TRANSPORTATION MANAGEMENT; WIRELESS COMMUNICATIONS; SPATIAL AND TEMPORAL PATTERNS;

DATA MINING; MOBILE PHONES; MOBILE TELECOMMUNICATION SYSTEMS; PLANNING; TELEPHONE; TELEPHONE SETS; WIRELESS TELECOMMUNICATION SYSTEMS;

TELECOMMUNICATION EQUIPMENT; DATA MINING;

EID: 78650192674     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-17316-5_34     Document Type: Conference Paper

References (17)

1. Ratti, C., Pulselli, R.M., Williams, S., Frenchman, D.: Mobile Landscapes: using location data from cell-phones for urban analysis. Environment and Planning B - Planning and Design (2005)
2. Jungyul, S.: Are commuting patterns a good indicator of urban spatial structure. Journal of Transport geography, 36-42 (2006)
3. Bowman, J.L., Ben-Akiva, M.: Activity-based disaggregates travel demand model system with activity schedules. Transportation Research A 35, 1-28 (2000)
4. Cascetta: Estimation of trip matrices from traffic counts and survey data: A generalized least squares estimator. Transport. Res. 415, 289-299 (1984)
5. Haixiao, M.: Research on Person Trip Characteristics of Chinese Citizens. Doctor dissertation of Beijing Polytechnic University (2005)
6. Townsend, A.M.: Mobile Communications in the 21st Century City. In: Brown, B., Green, N., Harper, R. (eds.) The Wireless World: Social and Interactional Aspects of the Mobile Age. Springer, Berlin (2001)
7. Byeong-Seok, Y., Kyungsoo, C.: Origin-destination estimation using cellular phone as information. Journal of the Eastern Asia Society for Transportation Studies 6, 2574-2588 (2005)
8. Lo, H.P., Chan, C.P.: Simultaneous estimation of an origin-destination matrix and link choice proportions using traffic counts. TR-A 37, 771-788 (1999)
9. Caceres, N., Wideberg, J.P., Benitez, F.G.: Review of traffic data estimations extracted from cellular networks. Intelligent Transport Systems, IET (2008)
10. White, J., Wells, I.: Extracting origin-destination information from mobile phone data (2002) (unpublished working paper)
11. Eagle, N., Pentland, A.: Reality Mining: Sensing Complex Social Systems. Personal and Ubiquitous Computing 10, 255-268 (2006)
12. Eagle, N., Pentland, A., David, L.: Inferring Social Network Structure using Mobile Phone Data. In: Proceedings of the National Academy of Sciences (PNAS), pp. 15274-15278 (2009)
13. González, M.C., Hidalgo, C.A., Barabási, A.L.: Understanding individual human mobility patterns. Nature 6, 779-782 (2008)
14. Franz, A., Rolf, K.: Voronoi diagrams-a survey of a fundamental geometric data structure. ACM Computing Surveys 23, 345-405 (1991)
15. Candia, J., Gonzalez, M.C., et al.: Uncovering individual and collective human dynamics from mobile phone records. Journal of Physics A-Mathematical and Theoretical (2008)
16. Yanwei, C., Zhilin, L.: Spatial and Temporal Structure of Cities in China. Press of Peking University, Beijing (2002)
17. Bolla, R., Davoli, F., Giordano, A.: Estimating road traffic parameters from mobile communications. In: Proceedings 7th World Congress on ITS, Turin, Italy (2000)