Mobile crowd sensing for traffic prediction in internet of vehicles

Sensors (Switzerland)

Volumn 16, Issue 1, 2016, Pages

  Wan, Jiafu ^a   Liu, Jianqi ^b   Shao, Zehui ^c   Vasilakos, Athanasios V ^d   Imran, Muhammad ^e   Zhou, Keliang ^f  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^b Guangdong Vocational College of Mechanical and Electrical Technology   (China)

^c CHENGDU UNIVERSITY   (China)

^d LULEÅ UNIVERSITY OF TECHNOLOGY   (Sweden)

^e KING SAUD UNIVERSITY   (Saudi Arabia)

^f JIANGXI UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Cloud computing; Data aggregation; Internet of vehicles; Mobile crowd sensing; Traffic prediction

Indexed keywords

AD HOC NETWORKS; CLOUD COMPUTING; DISTRIBUTED COMPUTER SYSTEMS; FORECASTING; INTERNET; MOBILE AD HOC NETWORKS; MOBILE CLOUD COMPUTING; VEHICLES; VEHICULAR AD HOC NETWORKS; WIRELESS AD HOC NETWORKS; WIRELESS TELECOMMUNICATION SYSTEMS;

DATA AGGREGATION; INTELLIGENT TERMINAL; MOBILE CROWD SENSING; TRAFFIC PREDICTION; VEHICLE TO INFRASTRUCTURE (V2I); VEHICLE AD-HOC NETWORKS; VEHICLE ROUTING PROBLEMS; WIRELESS COMMUNICATION TECHNIQUES;

VEHICLE TO VEHICLE COMMUNICATIONS;

EID: 84954308584     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s16010088     Document Type: Article

References (34)

1. Wan, J.; Zou, C.; Zhou, K.; Lu, R.; Li, D. IoT Sensing Framework with Inter-cloud Computing Capability in Vehicular Networking. Electron. Commer. Res. 2014, 14, 389-416. [CrossRef]
2. Liu, N. Internet of Vehicles: Your Next Connection. Available online: http://www.huawei.com/es/static/ HW-110848.pdf (accessed on 20 December 2015).
3. Chen, M.; Mau, D.; Zhang, Y.; Taleb, T.; Leung, V. VENDNET: Vehicular Named Data Network. Veh. Commun. 2014, 1, 208-213. [CrossRef]
4. Wan, J.; Zhang, D.; Sun, Y.; Lin, K.; Zou, C.; Cai, H. VCMIA: A Novel Architecture for Integrating Vehicular Cyber-Physical Systems and Mobile Cloud Computing. Mob. Netw. Appl. 2014, 19, 153-160. [CrossRef]
5. Liu, J.; Wan, J.; Wang, Q.; Deng, P.; Zhou, K.; Qiao, Y. A Survey on Position-based Routing for Vehicular Ad hoc Networks. Telecommun. Syst. 2015. [CrossRef]
6. Ganti, R.; Ye, F.; Lei, H. Mobile Crowd Sensing: Current State and Future Challenges. IEEE Commun. Mag. 2011, 49, 32-39. [CrossRef]
7. Guo, B.;Wang, Z.; Yu, Z.;Wang, Y.; Yen, N.Y.; Huang, R.; Zhou, X. Mobile crowd sensing and computing: The review of an emerging human-powered sensing paradigm. ACM Comput. Surv. (CSUR) 2015, 48. [CrossRef]
8. Feng, Z.; Zhu, Y.; Zhang, Q.; Ni, L.; Vasilakos, A. TRAC: Truthful auction for location-aware collaborative sensing in mobile crowdsourcing. In Proceedings of the IEEE Infocom 2014, Toronto, ON, Canada, 27 April-2 May 2014.
9. Zhang, D.; Zhang, D.; Xiong, H.; Yang, T.; Vasilakos, A. BASA: Building Mobile Ad-hoc Social Network on top of Android. IEEE Netw. 2014, 28, 4-9. [CrossRef]
10. Lochert, C.; Scheuermann, B.; Wewetzer, C.; Luebke, A.; Mauve, M. Data aggregation and roadside unit placement for a VANET traffic information system. In Proceedings of the 5th ACM International Workshop on Vehicular Inter-NETworking, San Francisco, CA, USA, 14-19 September 2008; pp. 58-65.
11. Hartenstein, H.; Laberteaux, K.P. VANET: Vehicular Applications and Inter-Networking Technologies; John Wiley and Sons, Ltd.: New York, NY, USA, 2010.
12. Min,W.;Wynter, L. Real-time road traffic prediction with spatio-temporal correlations. Transp. Res. Part C 2011, 19, 606-616. [CrossRef]
13. Wan, J.; Zhang, D.; Zhao, S.; Yang, L.T.; Lloret, J. Context-aware Vehicular Cyber-Physical Systems with Cloud Support: Architecture, Challenges and Solutions. IEEE Commun. Mag. 2014, 52, 106-113. [CrossRef]
14. Ni, D.; Liu, H.; Ding, W.; Xie, Y.; Wang, H.; Pishro-Nik, H.; Yu, Q. Cyber-physical integration to connect vehicles for transformed transportation safety and efficiency. In Proceedings of the 25th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, Dalian, China, 9-12 June 2012; pp. 88-94.
15. Hull, B.; Bychkovsky, V.; Zhang, Y.; Chen, K.; Goraczko, M.; Miu, A.; Shih, E.; Balakrishnan, H.; Madden, S. Cartel: A distributed mobile sensor computing system. In Proceedings of the SenSys 2006, Boulder, CO, USA, 31 October-3 November 2006; pp. 125-138.
16. Mohan, P.; Padmanabhan, V.; Ramjee, R. Nericell: Rich monitoring of road and traffic conditions using mobile smartphones. In Proceedings of the ACM SenSys, Raleigh, NC, USA, 5-7 November 2008; pp. 323-336.
17. Herrera, J.; Work, D.; Ban, X.; Herring, R.; Jacobson, Q.; Bayen, A. Evaluation of Traffic Data Obtained via GPS-enabled Mobile Phones: the Mobile Century Field Experiment. Transp. Res. C 2010, 18, 568-583. [CrossRef]
18. Mathur, S.; Jin, T.; Kasturirangan, N.; Chandrashekharan, J.; Xue, W.; Gruteser, M.; Trappe, W. Parknet: Drive-by sensing of road-side parking statistics. In Proceedings of the ACM MobiSys, San Francisco, CA, USA, 15-18 June 2010; pp. 123-136.
19. Ali, K.; Al-Yaseen, D.; Ejaz, A.; Javed, T.; Hassanein, H. CrowdITS: Crowdsourcing in intelligent transportation systems. In Proceedings of the IEEE WCNC 2012, Paris, France, 1-4 April 2012; pp. 3307-3311.
20. Nadeem, T.; Dashtinezhad, S.; Liao, C.; Iftode, L. TrafficView: Traffic Data Dissemination using Car-to-car Communication. ACM SIGMOBILE Mob. Comput. Commun. Rev. 2004, 8, 6-19. [CrossRef]
21. Liu, J.; Wan, J.; Wang, Q.; Zeng, B.; Fang, S. A Time-recordable Cross-Layer Communication Protocol for the Positioning of Vehicular Cyber-Physical Systems. Future Gener. Comput. Syst. 2016, 56, 438-448. [CrossRef]
22. Liu, J.; Wan, J.; Wang, Q.; Li, D.; Qiao, Y.; Cai, H. A Novel Energy-saving One-Sided Synchronous Two-Way Ranging Algorithm for Vehicular Positioning. Mob. Netw. Appl. 2015, 20, 661-672. [CrossRef]
23. Lu, N.; Cheng, N.; Zhang, N.; Shen, X.; Mark, J.W. Connected Vehicles: Solutions and Challenges. IEEE Internet Things J. 2014, 1, 289-299. [CrossRef]
24. Hussain, R.; Junggab, S.; Hasoo, E.; Sangjin, K.; Heekuck, O. Rethinking vehicular communications: Merging VANET with cloud computing. In Proceedings of the 4th International Conference Cloud Computing Technology and Science, Taipei, Taiwan, 3-6 December 2012; pp. 606-609.
25. Yu, R.; Zhang, Y.; Xia, W.; Yang, K. Toward Cloud-Based Vehicular Networks with Efficient Resource Management. IEEE Netw. 2013, 27, 48-55.
26. Zhang, D.; Chen, M.; Guizani, M.; Xiong, H.; Zhang, D. Mobility Prediction in Telecom Cloud Using Mobile Calls. IEEE Wirel. Commun. 2014, 21, 26-32. [CrossRef]
27. Chen, M.; Zhang, Y.; Li, Y.; Mao, S.; Leung, V. EMC: Emotion-aware Mobile Cloud Computing in 5G. IEEE Netw. 2015, 29, 32-38.
28. Chen, M.; Hao, Y.; Li, Y.; Lai, C.; Wu, D. On The Computation Offloading at Ad Hoc Cloudlet: Architecture and Service Models. IEEE Commun. Mag. 2015, 53, 18-24.
29. Jiau, M.K.; Huang, S.C.; Hwang, J.N.; Vasilakos, A. V. Multimedia services in cloud-based vehicular networks. IEEE Intell. Transp. Syst. Mag. 2015, 7, 62-79. [CrossRef]
30. Cormen, T.; Leiserson, C.; Ronald, L. Introduction to Algorithms; MIT Press: Cambridge, MA, USA, 1990.
31. Fredman, M.; Tarjan, R. Fibonacci heaps and their uses in improved network optimization algorithms. J. Assoc. Comput. Mach. 1987, 34, 596-615. [CrossRef]
32. Xiong, N.; Vasilakos, A.V.; Yang, L.T.; Song, L.; Pan, Y.; Kannan, R.; Li, Y. Comparative analysis of quality of service and memory usage for adaptive failure detectors in healthcare systems. IEEE J. Sel. Areas Commun. 2009, 27, 495-509. [CrossRef]
33. Xiong, N.; Vasilakos, A.V.; Yang, L.T.; Wang, C.X.; Kannan, R.; Chang, C.C.; Pan, Y. A novel self-tuning feedback controller for active queue management supporting TCP flows. Inf. Sci. 2010, 180, 2249-2263. [CrossRef]
34. Shu, Z.; Wan, J.; Zhang, D.; Li, D. Cloud-integrated Cyber-Physical Systems for Complex Industrial Applications. Mob. Netw. Appl. 2015. [CrossRef]