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Reseach Article

Road Traffic Control System in Cloud Computing: A Review

Published on August 2015 by Kapil Kumar, Dr. Pankaj Deep Kaur
International Conference on Advancements in Engineering and Technology
Foundation of Computer Science USA
ICAET2015 - Number 9
August 2015
Authors: Kapil Kumar, Dr. Pankaj Deep Kaur
03563c4f-1b19-409c-b5bc-3f4f15c34ad1

Kapil Kumar, Dr. Pankaj Deep Kaur . Road Traffic Control System in Cloud Computing: A Review. International Conference on Advancements in Engineering and Technology. ICAET2015, 9 (August 2015), 1-3.

@article{
author = { Kapil Kumar, Dr. Pankaj Deep Kaur },
title = { Road Traffic Control System in Cloud Computing: A Review },
journal = { International Conference on Advancements in Engineering and Technology },
issue_date = { August 2015 },
volume = { ICAET2015 },
number = { 9 },
month = { August },
year = { 2015 },
issn = 0975-8887,
pages = { 1-3 },
numpages = 3,
url = { /proceedings/icaet2015/number9/22265-4121/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advancements in Engineering and Technology
%A Kapil Kumar
%A Dr. Pankaj Deep Kaur
%T Road Traffic Control System in Cloud Computing: A Review
%J International Conference on Advancements in Engineering and Technology
%@ 0975-8887
%V ICAET2015
%N 9
%P 1-3
%D 2015
%I International Journal of Computer Applications
Abstract

Road traffic on public roads around the world is a vital problem and is seemly a major pretend to conclusion makers. Urban region have a great stack of traffic crushes. Many superimposed concepts of road traffic Gas lit, Wireless sensor networks have appeared in the past few years. The living methods for traffic management are not effective. At that place require for a hefty and scalable high-execution computing. Cloud computing is turning a good engineering to provide a potent and scalable computing at low cost. Therefore Sensor-Cloud is seemly popular in recent years. This paper attempts to review these concepts and discusses their ending alignment with other phase of networks like Sensor-cloud network. The key obstructions to the successful acceptance of Sensor-could have been distinguished and directions for the existing and finally the conclusion have been discussed.

References
  1. Cheonshik Kim, You-Sik Hong "Traffic Signal Using Smart Agent System, " American Journal of Applied Sciences, 2008:1487-1493.
  2. Legon-Okponglo, "Design and Development of Micro-Controller Based Traffic System Using Image Processing Techniques" University of Ghana, published in ICAST, 2012 IEEE 4th International Conference.
  3. J. Srinivas, K. Venkata Subba Reddy, Dr. A. Miss Qyser, "Cloud computing basics," International journal of advanced research in computer and communication engineering, Vol. 1, Issue 5, pp. 343-347, July 2012.
  4. G. Simon, G. Balogh, G. Pap et al. , "Sensor network-based counter sniper system," in Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems (SenSys '04), pp. 1–12, Baltimore, Md, USA, November 2004.
  5. J. Yick, B. Mukherjee, and D. Ghosal, Wireless Sensor Network Survey, Elsevier, 2008.
  6. Kian Tee LAN, (2010)," What's NExT? Sensor+Cloud?", in Proceeding of 7 the International workshop on Data Management for Sensor networks, ACM Digital Library, ISBN: 978 -1-4503-0416-0, 2010.
  7. H. T. Dinh, C. Lee, D. Niyato, and P. Wang "A Survey of Mobile Cloud Computing: Architecture, Applications, and Approaches Wireless Communications and Mobile Computing" Wiley Online Library, 2011.
  8. http://telematicswire. net/c-dac-launches-witrac-indias-first-wireless-traffic-controller-system.
  9. Xiaoquan Chen, Jihong Zhang, Shao Qian, Peng Xu "Applied Research on Traffic Information Collection Based on Wireless Sensor Networks", Elsevier 2012 International Conference on Future Electrical Power and Energy Systems.
  10. Xiao-Feng Xie, Gregory J. Barlow, Stephen F. Smith, and Zachary B. Rubinstein "Platoon-Based Self-Scheduling for Real-Time Traffic Signal Control", IEEE International Conference on Intelligent Transportation Systems (ITSC), Washington, DC, USA, 2011.
  11. Searching Jaiswal, Tushar Agarwal, Akanksha Singh and Lakshita "Intelligent Traffic Control Unit", International Journal of Electrical, Electronics ISSN No. (Online): 2277-2626 and Computer Engineering 2 (2): 66-72 (2013).
  12. P. F. Alcantarilla, M. A. Sotelo, L. M. Bergasa "Automatic Daytime Road Traffic Control and Monitoring System" Intelligent Transportation Systems, 2008. ITSC 2008. 11th International IEEE Conference on 12-15 Oct. 2008 Page: 944–949.
  13. K. Ranjini, A. Kanthimathi, Y. Yasmine "Design of Adaptive Road Traffic Control System through Unified Modeling Language" International Journal of Computer Applications (0975 – 8887) Volume 14– No. 7, February 2011.
  14. Shruthi K R & Vinodha. K "Priority Based Traffic Lights Controller Using Wireless Sensor Networks", International Journal of Electronics, Signals, and Systems (IJESS) ISSN: 2231- 5969, Vol-1 Iss-4, 2012.
Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Sensor-cloud Network Gas Lit Wireless Sensor Network Virtualizatio