Cellular data meet vehicular traffic theory: Location area updates and cell transitions for travel time estimation

UbiComp'12 - Proceedings of the 2012 ACM Conference on Ubiquitous Computing

Volumn , Issue , 2012, Pages 361-370

  Janecek, Andreas ^a   Valerio, Danilo ^b   Hummel, Karin A ^c   Ricciato, Fabio ^b   Hlavacs, Helmut ^a  

^a UNIVERSITY OF VIENNA   (Austria)

^b TELECOMMUNICATIONS RESEARCH CENTER VIENNA FTW   (Austria)

^c ETH ZURICH   (Switzerland)

Author keywords

Cellular floating car data; Congestion detection; Large mobility data sets; Mobility sensor; Travel time estimation

Indexed keywords

ACTIVE DEVICES; CELL TRANSITIONS; CELLULAR MOBILE NETWORKS; CONGESTION DETECTION; DATA SETS; FLOATING CAR DATA; LOCATION AREA; MOBILE CELLULAR NETWORKS; ROAD CONGESTION; ROAD TRAFFIC; STATIC SENSORS; TRAFFIC MONITORING; TRAVEL TIME ESTIMATION; VOICE CALLS;

ESTIMATION; MOTOR TRANSPORTATION; SENSORS; TRAFFIC CONGESTION; TRAVEL TIME; UBIQUITOUS COMPUTING;

MOBILE TELECOMMUNICATION SYSTEMS;

EID: 84867439212     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2370216.2370272     Document Type: Conference Paper

References (21)

1. M. Alger, E. Wilson, T. Gould, R. Whittaker, and N. Radulovic. Real-time traffic monitoring using mobile phone data. Online: http://www.maths-in- industry.org/miis/30 Vodafone Pilotentwicklung GmbH, 2004.
2. H. Bar-Gera. Evaluation of a cellular phone-based system for measurements of traffic speeds and travel times: A case study from Israel. Transportation Research Part C: Emerging Technologies, 15(6):380-391, 2007.
3. R. Bertini. You are the traffic jam: an examination of congestion measures. Technical report, Department of Civil and Environmental Engineering, Portland State University (2005).
4. F. Calabrese, M. Colonna, P. Lovisolo, D. Parata, and C. Ratti. Real-time urban monitoring using cell phones: A case study in Rome. IEEE Trans. on Intelligent Transportation Systems, 12(1):141 -151, 2011.
5. C. de Fabritiis, R. Ragona, and G. Valenti. Traffic estimation and prediction based on real time floating car data. In International IEEE Conference on Intelligent Transportation Systems (ITSC'08), pages 197 -203, oct. 2008.
6. P. Fiadino, D. Valerio, F. Ricciato, and K. A. Hummel. Steps towards the extraction of vehicular mobility patterns from 3G signaling data. In Traffic Monitoring and Analysis (TMA) Workshop, 2012.
7. M. C. Gonzalez, C. A. Hidalgo, and A.-L. Barabasi. Understanding individual human mobility patterns. Nature, 453(7196):779-782, 2008.
8. H. Holma and A. Toskala. WCDMA for UMTS : Radio access for third generation mobile communications. John Wiley and Sons, Ltd., 2000.
9. I. Trestian et al. Measuring serendipity: Connecting people, locations and interests in a mobile 3G network. In Internet Measurement Conference (IMC'09), 2009.
10. B. Kerner. Empirical macroscopic features of spatial-temporal traffic patterns at highway bottlenecks. Physical Review, E 65(4), 2002.
11. B. Kerner, C. Demir, R. Herrtwich, S. Klenov, H. Rehborn, M. Aleksic, and A. Haug. Traffic state detection with floating car data in road networks. In International IEEE Conference on Intelligent Transportation Systems (ITSC'05), pages 44-49, 2005.
12. C. Oberauer, T. Stottan, and R. Wagner. Requirements of processing extended floating car data in a large scale environment. Advanced Microsystems for Automotive Applications 2011, pages 335-342, 2011.
13. A. Poolsawat, W. Pattara-Atikom, and B. Ngamwongwattana. Acquiring road traffic information through mobile phones. In ITS Telecommunications 2008, pages 170-174, 2008.
14. G. Rose. Mobile phones as traffic probes: Practices, prospects and issues. Transport Reviews, 26(3):275-291, 2006.
15. C. Song, Z. Qu, N. Blumm, and A. L. Barabási. Limits of predictability in human mobility. Science, 327(5968):1018-1021, 2010.
16. M. Treiber, A. Kesting, and D. Helbing. Three-phase traffic theory and two-phase models with a fundamental diagram in the light of empirical stylized facts. Transportation Report Part B, (44):983-1000, 2010.
17. D. Valerio, A. D'Alconzo, F. Ricciato, and W. Wiedermann. Exploiting cellular networks for road trafc estimation: a survey and a research roadmap. In IEEE 69th Vehicular Technology Conference (IEEE VTC '09-Spring), 2009.
18. F.-Y. Wang. Parallel control and management for intelligent transportation systems: Concepts, architectures, and applications. IEEE Trans. on Intelligent Transportation Systems, 11(3):630-638, 2010.
19. T. Wang, T. Fang, J. Han, and J. Wu. Traffic monitoring using floating car data in Hefei. In Intelligence Information Processing and Trusted Computing (IPTC), pages 122 -124, 2010.
20. J. Yuan, Y. Zheng, X. Xie, and G. Sun. Driving with knowledge from the physical world. In 17th ACM SIGKDD int. conference on Knowledge Discovery and Data mining, pages 316-324. ACM, 2011.
21. J. Zhang, F.-Y. Wang, K. Wang, W.-H. Lin, X. Xu, and C. Chen. Data-driven intelligent transportation systems: A survey. IEEE Trans. on Intelligent Transportation Systems, 12(4):1624 -1639, 2011.