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Video Capture Service in the Intelligent Transportation System based on Cloud Computing

by Fekri M. Abduljalil
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 97 - Number 5
Year of Publication: 2014
Authors: Fekri M. Abduljalil
10.5120/17007-7159

Fekri M. Abduljalil . Video Capture Service in the Intelligent Transportation System based on Cloud Computing. International Journal of Computer Applications. 97, 5 ( July 2014), 35-41. DOI=10.5120/17007-7159

@article{ 10.5120/17007-7159,
author = { Fekri M. Abduljalil },
title = { Video Capture Service in the Intelligent Transportation System based on Cloud Computing },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 97 },
number = { 5 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 35-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume97/number5/17007-7159/ },
doi = { 10.5120/17007-7159 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:23:21.695741+05:30
%A Fekri M. Abduljalil
%T Video Capture Service in the Intelligent Transportation System based on Cloud Computing
%J International Journal of Computer Applications
%@ 0975-8887
%V 97
%N 5
%P 35-41
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Vehicular networking has significant potential to enable many different applications related to traffic safety and traffic efficiency within Intelligent Transportation System. In this paper, cloud-based vehicular network architecture is proposed such that the vehicles can share computation resources, storage resources and bandwidth resources. The proposed architecture includes four types of cloud: a vehicular cloud, a roadside cloud, a cellular cloud and a central cloud. Then, a video capture service based on the proposed architecture is presented. Vehicular cloud is used to provide a video capture service of specific location, moving vehicle or route. It sends the captured video to a customer and the other available cloud to be used for further investigation. Resource allocation and management algorithms are proposed to handle the continuity of video capture with minimum service disruption. The proposed service is implemented using a test bed.

References
  1. Research and Innovative Technology Administration (RITA), U. S. Department of Transportation (US DOT) 1200 New Jersey Avenue, http:/ /www. its. dot. gov /data_capture/ data_capture. htm, last time accessed 5/3/ 2013.
  2. ERTICO Intelligent Transport Systems and Services stakeholders in Europe: http://www. ertico. com/ertico-its-europe/, last accessed on June 10th, 2014.
  3. Ministry of Land, Infrastructure, Transport and Tourism in Japan: http://www. mlit. go. jp/en/index. html, last accessed on June 10th, 2014.
  4. Intelligent Transportation Systems Society of Canada: http://www. itscanada. ca, last accessed on June 10th, 2014
  5. Connie Ribeiro, Bringing Wireless Access to the Automobile: A Comparison of Wi-Fi, WiMAX, MBWA, and 3G, 21st Computer Science Seminar, http://citeseerx. ist. psu. edu/viewdoc/summary?doi=10. 1. 1. 149. 9385.
  6. Sherali Zeadally, Ray Hunt, Yuh-Shyan Chen, Angela Irwin, Aamir Hassan, Vehicular ad hoc networks (VANETS): status, results and challenges, Springer Science+Business Media, LLC 2010.
  7. Gerlach, M. (2006). Full paper: assessing and improving privacy in VANETs. www. network-on-wheels. de/downloads/escar2006gerlach. pdf (accessed: May 29, 2010).
  8. Jiang, D. , Delgrossi, L. , IEEE 802. 11p: Towards an International Standard for Wireless Access in Vehicular Environments, IEEE Vehicular Technology Conference, 2008. VTC Spring 2008. , May 2008, , pages: 2036 – 2040.
  9. Yunpeng Zang, Erik Weiss, Lothar Stibor, Bernhard Walke, Hui Chen, Xi Cheng, Opportunistic Wireless Internet Access in Vehicular Environments Using Enhanced WAVE Devices, International Journal of Hybrid Information Technology, 2008.
  10. Yougui Liu; Baoxing Bai; Research on GPRS vehicle location network service system, International Conference on Computer, Mechatronics, Control and Electronic Engineering (CMCE), Changchun,china 2010.
  11. European Telecommunications Standards Institute 2010, ETSI TS 102 636-3 V1. 1. 1, Intelligent Transport Systems (ITS); Vehicular Communications; GeoNetworking; Part 3: Network architecture, Technical Specification, (2010-03), http://www. etsi. org
  12. S. Olariu, M. Eltoweissy and M. Younis, "Towards Autonomous Vehicular Clouds," ICST Transactions on Mobile Communications and Applications, vol. 11, no. 7-9, pp. 1-11, 2011.
  13. D. Bernstein, N. Vidovic and S. Modi, "A Cloud PAAS for High Scale, Function, and Velocity Mobile Applications - With Reference Application as the Fully Connected Car, in Proc. Fifth International Conference on Systems and Networks Communications (ICSNC), pp. 117-123, 2010.
  14. R. Hussain, J. Son, H. Eun, S. Kim and H. Oh, "Rethinking Vehicular Communications: Merging VANET with cloud computing", in Proc. IEEE 4th International Conference on Cloud Computing Technology and Science, pp. 606-609, 2012.
  15. Rong Yu, Yan Zhang, Stein Gjessing, Wenlong Xia, Kun Yang, Toward Cloud-based Vehicular Networks with Efficient Resource Management, IEEE Network, (Volume:27 ,Issue: 5 ), Oct 2013, pp. 48 - 55.
  16. M. Gerla, J. -T. Weng, and G. Pau, "Pics-on-wheels: Photo surveillance in the vehicular cloud," in Computing, Networking and Communications (ICNC), 2013 International Conference on. IEEE, 2013, pp. 1123–1127.
  17. Md Whaiduzzaman , Mehdi Sookhak, Abdullah Gani, Rajkumar Buyya, A survey on vehicular cloud computing, Journal of Network and Computer Applications, Elsevier, 2013.
  18. Fekri M. Abduljalil, Ali Alsharafi," An Efficient Digital Video Recording Scheme for Intelligent Transportation Systems", World Congress on Computer and Information Technology ( WCCIT'2013), IEEE Computer Society, Sousse, Tunisia, June 22-24, 2013.
  19. M. Satyanarayanan, P. Bahl, R. Caceres, and N. Davies. "The Case for VM-based Cloudlets in Mobile Computing", IEEE Pervasive Computing, vol. 8, no. 4, 2009.
  20. google maps, https://www. google. com/maps/preview, last time accessed 1/6/2014.
  21. Android SDK, Eclipse + ADT plugin, http://developer. android. com/sdk/index. html, last time accessed 20/06/2014.
  22. Java SE Development Kit 7, http://www. oracle. com/technetwork/java/javase/downloads/jdk7-downloads-1880260. html, last time accessed on 20/06/2014.
Index Terms

Computer Science
Information Sciences

Keywords

Vehicular Network Cloud Computing Video Capture.

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