CFP last date
20 May 2024
Reseach Article

Analysis of Traffic Patterns using Computer Vision and Wireless Sensor Network

by Param Trivedi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 108 - Number 2
Year of Publication: 2014
Authors: Param Trivedi
10.5120/18883-0162

Param Trivedi . Analysis of Traffic Patterns using Computer Vision and Wireless Sensor Network. International Journal of Computer Applications. 108, 2 ( December 2014), 21-25. DOI=10.5120/18883-0162

@article{ 10.5120/18883-0162,
author = { Param Trivedi },
title = { Analysis of Traffic Patterns using Computer Vision and Wireless Sensor Network },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 108 },
number = { 2 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 21-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume108/number2/18883-0162/ },
doi = { 10.5120/18883-0162 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:41:57.160706+05:30
%A Param Trivedi
%T Analysis of Traffic Patterns using Computer Vision and Wireless Sensor Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 108
%N 2
%P 21-25
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Traffic patterns analysis and solutions for traffic is the emerging field. To determine the patterns of traffic flow and with the help of that data reports can be generated to build the sustainable infrastructure. So that the infrastructures like bridges and fly over will build such that they will be solving problems of the traffic in the current scenarios. To overcome the problem of traffic we propose a solution that with help of computer vision and wireless sensor networks.

References
  1. J. J. Blum,A. Eskandarian, and L. J. Huffman, "Challenges of intervehicle ad-hoc networks," IEEE Transactions on Intelligent Transportation System, Vol. 5, no. 4, pp. 347-351, 2004.
  2. http://www. its. dot. gov/vii/index. htm.
  3. K. Bilstrup, E. Uhlemann, E. G. Storm, and U. Bilstrup, "Evalution of the IEEE 802. 11p MAC method for vehicle-to-vehicle communication," in Proceedings of the 68th IEEE Vehicular Technology Conference (VTC'08), pp. 1-5, Calgary, Canada, September 2008.
  4. K. Bilstrup, E. Uhlemann, E. G. Storm, "Medium access control in vehicular networks based on the upcoming IEEE 802. 11p standard," in Proceedings of the 15th World Congress on Intelligent Transport Systems (ITS'08),pp. 1-12, New York, USA, November 2008.
  5. http://standards. ieee. org/board/nes/projects/80211p. pdf
  6. K. Bilstrup, "A survey regarding wireless communication standards intended for a high-speed vehicle environment," Technical Report IDE 0712, Halmstad University, Sweden, Feb. 2007.
  7. L. Stibor, Y. Zang and H-J. Reumermann, "Evaluation of communication distance of broadcast messages in a vehicular ad- hoc network using IEEE 802. 11p," in Proc. IEEE Wireless Communications and Networking Conf. , Hong Kong, China, Mar. 2007, pp. 254-257.
  8. M. Wellen, B. Westphal and P. Mahonen, "Performance evaluation of IEEE 802. 11-based WLANs in vehicular scenarios," in Proc. IEEE Vehicular Technology Conf. , Dublin, Ireland, Apr. 2007, pp. 1167-1171.
  9. W. Xiang, P. Richardson and J. Guo, "Introduction and preliminary experimental results of wireless access for vehicular environments (WAVE) systems," in Proc. Int. Conf. Mobile and Ubiquitous Systems: Network and Services, San José, CA, US, Jul. 2007, pp. 1-8. International Journal of Network Security & Its Applications (IJNSA), Vol. 5, No. 2, March 2013 169
  10. IEEE P802. 11p/D3. 0, Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications: Amendment: Wireless Access in Vehicular Environments (WAVE), Draft 3. 0, Jul. 2007.
  11. D. Jiang and L. Delgrossi. Ieee 802. 11: Towards an International Standard for Wireless Access in Vehicular Environments. 2007.
  12. A. Alonso, K. Sjöberg, E. Uhlemann, E. G. Ström, and C. F. Mecklenbräuker. Challenging Vehicular Scenarios for Self-Organizing Time Division Multiple Access. European Cooperation in the Field of Scienti_c andTechnical Research, 2011.
  13. P. Mackenzie, B. Miller, D. D. Coleman, and D. A. Westcott. CWAP Certified Wireless Analysis Professional Official Study Guide. 2011.
  14. V. Shivaldova. Implementation of IEEE 802. 11p Physical Layer Model in SIMULINK. Master's thesis, Fakultät für Elektrotechnik und Informationstechnik, Technische Universität Wien, 2010.
  15. IEEE 802. 11 Working Group. IEEE 802. 11e Standard for Information technology - Telecommunications and information exchange between systems - Local and metropolitan area networks - Specific requirements Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications Amendment 8: Medium Access Control (MAC) Quality of Service Enhancements, 2005.
  16. H. Lans, Position Indicating System. Patent: US patent 5,506,587 (1996)
  17. R. Kjellberg, Capacity and Throughput Using a Self Organized Time Division Multiple Access VHF Data Link in Surveillance Applications,
  18. K. Sjöberg Bilstrup, E. Uhlemann, and E. G. Ström. Scalability issues for the MAC methods STDMA and CSMA/CA of IEEE 802. 11p when used in VANETs. IEEE International Conference on Communications (ICC2010), 2010.
  19. Paper on the computer vision algorithm http://www. ijcsi. org/papers/IJCSI-10-1-1-354-359. pdf
  20. Paper on the wireless sensor networks http://arxiv. org/pdf/1312. 2249. pdf
  21. Paper on the RF communications http://www. digi. com/pdf/wp_zigbee. pdf
Index Terms

Computer Science
Information Sciences

Keywords

XBEE WSN OPENCV