Potential predictability of vehicular staying time for large-scale Urban Environment

IEEE Transactions on Vehicular Technology

Volumn 63, Issue 1, 2014, Pages 322-333

  Li, Yong ^a   Ren, Wenyu ^a   Jin, Depeng ^a   Hui, Pan ^b,c   Zeng, Lieguang ^a   Wu, Dapeng ^d  

^a TSINGHUA NATIONAL LABORATORY FOR INFORMATION SCIENCE AND TECHNOLOGY   (China)

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

^c DEUTSCHE TELEKOM LABORATORIES   (Germany)

^d J Crayton Pruitt Family Department of Biomedical Engineering   (United States)

Author keywords

Prediction; staying time; vehicular mobility

Indexed keywords

MOTOR TRANSPORTATION; TRAFFIC CONGESTION;

STAYING TIME; UNSOLVED PROBLEMS; URBAN ENVIRONMENTS; VEHICULAR COMMUNICATION NETWORKS; VEHICULAR MOBILITIES; VEHICULAR NETWORKINGS; VEHICULAR NETWORKS; VEHICULAR SYSTEMS;

FORECASTING;

EID: 84893373044     PISSN: 00189545     EISSN: None     Source Type: Journal    
DOI: 10.1109/TVT.2013.2271320     Document Type: Article

References (45)

1. A. Stathopoulos andM. Karlaftis, "A multivariate state space approach for urban traffic flow modeling and prediction," Transp. Res. Part C, Emerg. (Pubitemid 36594926)
2. Y. Kamarianakis and P. Prastacos, "Forecasting traffic flow conditions in an urban network: Comparison of multivariate and univariate approaches," Transp. Res. Rec., J. Transp. Res. Board, vol. 1857, no. 1, pp. 74-84, Jan. 2003.
3. G. Dimitrakopoulos and P. Demestichas, "Intelligent transportation systems," IEEE Veh. Technol. Mag., vol. 5, no. 1, pp. 77-84, Mar. 2010.
4. Y. Li, Z. Wang, D. Jin, L. Zeng, and S. Chen, "Collaborative vehicular content dissemination with directional antennas," IEEE Trans. Wireless Commun., vol. 11, no. 4, pp. 1301-1306, Apr. 2012.
5. Y. Li, M. Qian, D. Jin, P. Hui, Z. Wang, and S. Chen (2013, May 20). Multiple mobile data offloading through disruption tolerant networks. IEEE Trans. Mobile Comput. [Online]. Available: http://doi. ieeecomputersociety.org/ 10.1109/TMC.2013.61
6. J. Zhao and G. Cao, "VADD: Vehicle-assisted data delivery in vehicular ad hoc networks," in Proc. 25th IEEE INFOCOM, Barcelona, Spain, Apr. 23-29, 2006, pp. 1-12.
7. C. Wu, J. Ho, and D. Lee, "Travel-time prediction with support vector regression," IEEE Trans. Intell. Transp. Syst., vol. 5, no. 4, pp. 276-281, Dec. 2004.
8. F. Li and Y. Wang, "Routing in vehicular ad hoc networks: A survey," IEEE Veh. Technol. Mag., vol. 2, no. 2, pp. 12-22, Jun. 2007. (Pubitemid 351267703)
9. Y. Li, P. Hui, D. Jin, L. Su, and L. Zeng, "Evaluating the impact of social selfishness on the epidemic routing in delay tolerant networks," IEEE Commun. Lett., vol. 14, no. 11, pp. 1026-1028, Nov. 2010.
10. Y. Li, G. Su, D. Wu, D. Jin, L. Su, and L. Zeng, "The impact of node selfishness on multicasting in delay tolerant networks," IEEE Trans. Veh. Technol., vol. 60, no. 5, pp. 2224-2238, Jun. 2011.
11. J. Harri, F. Filali, and C. Bonnet, "Mobility models for vehicular ad hoc networks: A survey and taxonomy," IEEE Commun. Surveys Tuts., vol. 11, no. 4, pp. 19-41, 4th Quart., 2009.
12. B. Zhang, K. Xing, X. Cheng, L. Huang, and R. Bie, "Traffic clustering and online traffic prediction in vehicle networks: A social influence perspective," in Proc. 31th IEEE INFOCOM, Orlando, FL, USA, Mar. 25-30, 2012, pp. 495-503.
13. V. Namboodiri and L. Gao, "Prediction-based routing for vehicular ad hoc networks," IEEE Trans. Veh. Technol., vol. 56, no. 4, pp. 2332-2345, Jul. 2007. (Pubitemid 47249955)
14. K. A. Ali, M. Lalam, L. Moalic, and O. Baala, "V-MBMM: Vehicular mask-based mobility model," in Proc. ICN, Apr. 11-16, 2010, pp. 243-248.
15. H. Huang, Y. Zhu, X. Li,M. Li, andM.-Y.Wu, "META: A mobility model of metropolitan taxis extracted from GPS traces," in Proc. IEEE WCNC, Sydney, Australia, Apr. 18-21, 2010, pp. 1-6.
16. Y. Li, D. Jin, P. Hui, L. Su, and L. Zeng, "Revealing contact interval patterns in large scale urban vehicular ad hoc networks," ACMSIGCOMM Comput. Commun. Rev., vol. 42, no. 4, pp. 299-300, Oct. 2012.
17. G. Mohimani, F. Ashtiani, A. Javanmard, and M. Hamdi, "Mobility modeling, spatial traffic distribution, and probability of connectivity for sparse and dense vehicular ad hoc networks," IEEE Trans. Veh. Technol., vol. 58, no. 4, pp. 1998-2007, May 2009.
18. F. Karnadi, Z. Mo, and K. Lan, "Rapid generation of realistic mobility models for VANET," in Proc. IEEE WCNC, Hong Kong, Mar. 11-15, 2007, pp. 2506-2511.
19. F. J. Martinez, J. C. Cano, C. T. Calafate, and P. Manzoni, "Citymob: A mobility model pattern generator for VANETs," in Proc. IEEE ICC, Beijing, China, May 19-23, 2008, pp. 370-374.
20. O. K. Tonguz,W. Viriyasitavat, and F. Bai, "Modeling urban traffic: A cellular automata approach," IEEE Commun. Mag., vol. 47, no. 5, pp. 142-150, May 2009.
21. I. Ho, K. Leung, and J. W. Polak, "Stochastic model and connectivity dynamics for VANETs in signalized road systems," IEEE/ACM Trans. Netw., vol. 19, no. 1, pp. 195-208, Feb. 2011.
22. M. Fiore and J. Härri, "The networking shape of vehicular mobility," in Proc. 9th ACM MobiCom, May 19-23, 2008, pp. 261-272.
23. A. Rojas, P. Branch, and G. Armitage, "Experimental validation of the random waypoint mobility model through a real world mobility trace for large geographical areas," in Proc. 8th ACM Int. Symp. Model., Anal. Simul. Wireless Mobile Syst., Montreal, QC, Canada, Oct. 10-13, 2005, pp. 174-177. (Pubitemid 44440716)
24. W.-J. Hsu, K. Merchant, H.-W. Shu, C.-H. Hsu, and A. Helmy, "Weighted waypoint mobility model and its impact on ad hoc networks," ACM SIGMOBILE Mobile Comput. Commun. Rev., vol. 9, no. 1, pp. 59-63, Jan. 2005.
25. Q. Zheng, X. Hong, and J. Liu, "An agenda based mobility model21," in Proc. 39th Annu. Symp. Simul., Huntsville, AL, USA, Apr. 2-6, 2006, pp. 188-195.
26. M. Musolesi and C. Mascolo, "A community based mobility model for ad hoc network research," in Proc. 2nd Int. Workshop Multi-hop Ad Hoc Netw.: From Theory Reality, Florence, Italy, May 26, 2006, pp. 31-38. (Pubitemid 44060023)
27. M. Kim, D. Kotz, and S. Kim, "Extracting a mobility model from real user traces," in Proc. 25th IEEE INFOCOM, Barcelona, Spain, April 23-29, 2006, pp. 1-13.
28. N. Banerjee, M. Corner, D. Towsley, and B. N. Levine, "Relays, base stations, and meshes: Enhancing mobile networks with infrastructure," in Proc. 14th ACM MobiCom, May 19-23, 2008, pp. 81-91.
29. J. Yoon, B. D. Noble, M. Liu, and M. Kim, "Building realistic mobility models from coarse-grained traces," in Proc. 4th Int. Conf. Mobile Syst., Appl. Services, Uppsala, Sweden, Jun. 19-22, 2006, pp. 177-190. (Pubitemid 44440797)
30. M. D. Kindzerske and D. Ni, "Composite nearest neighbor nonparametric regression to improve traffic prediction," Transp. Res. Rec., J. Transp. Res. Board, vol. 1993, pp. 30-35, Oct. 2007.
31. H. Menouar, M. Lenardi, and F. Filali, "Improving proactive routing in VANETs with the MOPR movement prediction framework," in Proc. 7th ITST, Sophia Antipolis, France, Jun. 6-8, 2007, pp. 1-6.
32. S. Wan, J. Tang, and R. S. Wolff, "Reliable routing for roadside to vehicle communications in rural areas," in Proc. IEEE ICC, Beijing, China, May 19-23, 2008, pp. 3017-3021.
33. Y. Li, Y. Jiang, D. Jin, L. Su, L. Zeng, and D. Wu, "Energy- efficient optimal opportunistic forwarding for delay-tolerant networks," IEEE Trans. Veh. Technol., vol. 59, no. 9, pp. 4500-4512, Nov. 2010.
34. Y. Li, P. Hui, D. Jin, L. Su, and L. Zeng (2012, Dec. 13). Optimal distributed malware defense in mobile networks with heterogeneous devices. IEEE Trans. Mobile Comput. [Online]. Available: http://doi. ieeecomputersociety.org/ 10.1109/TMC.2012.255
35. M. Kamilov, I. Karimov, J. Song, H. Kim, and S. Han, "A real-time routing system for vehicular ad hoc networks," in Proc. STFSSD, Tokyo, Japan, Mar. 17, 2009, pp. 88-92.
36. C. Song, Z. Qu, N. Blumm, and A. L. Barabsi, "Limits of predictability in human mobility," Science, vol. 327, no. 5968, pp. 1018-1021, Feb. 2010.
37. L. Song, U. Deshpande, U. C. Kozat, D. Kotz, and R. Jain, "Predictability of WLAN mobility and its effects on bandwidth provisioning," in Proc. 25th IEEE INFOCOM, Barcelona, Spain, Apr. 23-29, 2006, pp. 1-13.
38. H. Zhu, M. Li, L. Fu, G. Xue, Y. Zhu, and L. Ni, "Impact of traffic influxes: Revealing exponential inter-contact time in urban VANETs," IEEE Trans. Parallel Distrib. Syst., vol. 22, no. 8, pp. 1258-1266, Aug. 2011.
39. M. Li, H. Zhu, Y. Zhu, and L. M. Ni, "ANTS: Efficient vehicle locating based on ant search in shanghaiGrid," IEEE Trans. Veh. Technol., vol. 58, no. 8, pp. 4088-4097, Oct. 2009.
40. F. Aurenhammer, "Voronoi diagrams-A survey of a fundamental geometric data structure," ACM Comput. Surveys, vol. 23, no. 3, pp. 345-405, Sep. 1991.
41. B. Sun and D.Wu, "Self-organizing-queue based clustering," IEEE Signal Process. Lett., vol. 19, no. 12, pp. 902-905, Dec. 2012.
42. T. Cover and J. Thomas, Elements of Information Theory. Hoboken, N. J, USA: Wiley-Interscience, 2012.
43. A. Brabazon and M. O'Neill, Natural Computing in Computational Finance. Berlin, Germany: Springer-Verlag, 2008, pp. 197-210.
44. I. Kontoyiannis, P. H. Algoet, Y. M. Suhov, and A. J. Wyner, "Nonparametric entropy estimation for stationary processes and random fields, with applications to english text," IEEE Trans. Inf. Theory, vol. 44, no. 3, pp. 1319-1327, May 1998. (Pubitemid 128743299)
45. K. Kise, A. Sato, and M. Iwata, "Segmentation of page images using the area Voronoi diagram," Comput. Vis. Image Understand., vol. 70, no. 3, pp. 370-382, Jun. 1998. (Pubitemid 128415256)