Vehicular Cloud Computing Based Intelligent Transportation System for Traffic Management and Road Safety
M. Ramya Devi1 , S. Lokesh2 , B. Manikandan3 , T.Senthilkumar 4
Section:Review Paper, Product Type: Journal Paper
Volume-6 ,
Issue-7 , Page no. 970-975, Jul-2018
CrossRef-DOI: https://doi.org/10.26438/ijcse/v6i7.970975
Online published on Jul 31, 2018
Copyright © M. Ramya Devi, S. Lokesh, B. Manikandan, T.Senthilkumar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
View this paper at Google Scholar | DPI Digital Library
How to Cite this Paper
- IEEE Citation
- MLA Citation
- APA Citation
- BibTex Citation
- RIS Citation
IEEE Style Citation: M. Ramya Devi, S. Lokesh, B. Manikandan, T.Senthilkumar, “Vehicular Cloud Computing Based Intelligent Transportation System for Traffic Management and Road Safety,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.970-975, 2018.
MLA Style Citation: M. Ramya Devi, S. Lokesh, B. Manikandan, T.Senthilkumar "Vehicular Cloud Computing Based Intelligent Transportation System for Traffic Management and Road Safety." International Journal of Computer Sciences and Engineering 6.7 (2018): 970-975.
APA Style Citation: M. Ramya Devi, S. Lokesh, B. Manikandan, T.Senthilkumar, (2018). Vehicular Cloud Computing Based Intelligent Transportation System for Traffic Management and Road Safety. International Journal of Computer Sciences and Engineering, 6(7), 970-975.
BibTex Style Citation:
@article{Devi_2018,
author = {M. Ramya Devi, S. Lokesh, B. Manikandan, T.Senthilkumar},
title = {Vehicular Cloud Computing Based Intelligent Transportation System for Traffic Management and Road Safety},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2018},
volume = {6},
Issue = {7},
month = {7},
year = {2018},
issn = {2347-2693},
pages = {970-975},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2544},
doi = {https://doi.org/10.26438/ijcse/v6i7.970975}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i7.970975}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2544
TI - Vehicular Cloud Computing Based Intelligent Transportation System for Traffic Management and Road Safety
T2 - International Journal of Computer Sciences and Engineering
AU - M. Ramya Devi, S. Lokesh, B. Manikandan, T.Senthilkumar
PY - 2018
DA - 2018/07/31
PB - IJCSE, Indore, INDIA
SP - 970-975
IS - 7
VL - 6
SN - 2347-2693
ER -
VIEWS | XML | |
456 | 262 downloads | 156 downloads |
Abstract
Vehicular systems has turned into a major research area because of its highlights and applications. An efficient traffic management with proper road safety and its standardization is needed to develop a smart transportation system. To achieve the smart transportation system the vehicles on the road requires are required more correspondence computing features and expanded sensing power about other vehicles travelling in the same road. There are various arrangements were proposed to address the difficulties and issues of vehicular systems. Vehicular Cloud Computing (VCC) is one of the arrangements, that remarkably affects movement administration and road safety by right away utilizing vehicular resources. Consequently, a few advanced Intelligent Transportation Systems (ITS) techniques were utilized by using VCC. In this technique, conveyance resources concerned computing power, storage, and web property which will be shared between drivers. They are connecting with customers through web. VCC based ITS idea is a vital society impact that desires traffic management and road safety.
Key-Words / Index Term
Vehicular Cloud Computing, Transportation Systems, Cloud Computing, Wireless Network
References
[1] Kumar R, Lokesh S & Ramya Devi, M., Identifying Camouflaging Adversary in MANET Using Cognitive Agents, Wireless Personal Communication, https://doi.org/10.1007/s11277-018-5378-1, pp.1-20, 2018.
[2] Md Whaiduzzaman, Mehdi Sookhak, Abdullah Gani, Rajkumar Buyya, A survey on vehicular cloud computing”, Journal of Network and Computer Applications,Vol. 40, PP, 325-344, 2014, http://dx.doi.org/10.1016/j.jnca.2013.08.004.
[3] Mousumi Paul, Goutam Sanyal, MAS based Resource Provisioning in Vehicular Cloud Network, International Journal of Applied Engineering Research, Vol. 11, Issue 6, pp 3879-3884, 2016.
[4] Fonseca A, Vazão T. Applicability of position-based routing for VANET in highways and urban environment, Journal of Network and Computer Applications, vol.36, pp.961–73, 2013
[5] L. Gu, D. Zeng, and S. Guo, Vehicular cloud computing: A survey, in Proc. IEEE Globecom 2013 Workshops, pp. 403-407, 2013.
[6] A. Iwai and M. Aoyama, ―Automotive cloud service systems based on service-oriented architecture and its evaluation,ǁ in Proc. IEEE Int. Conf.Cloud Comput., Washington, DC, USA, 2011, pp. 638–645.
[7] YangX,LiuL, Vaidya N H, ZhaoF, A vehicle-to-vehicle communication protocol for cooperative collision warning. In: Proceedings of the 1st annual international conference on mobile and ubiquitous systems, networking and services, MOBIQUITOUS`04. IEEE;, p.114–23, 2004.
[8] J. Zhao, Y. Zhang, and G. Cao, Data pouring and buffering on the road:a new data dissemination paradigm for vehicular ad hoc networks, in IEEE Transactions on Vehicular Technology, vol. 56, no. 6, pp. 3266- 3277, 2007.
[9] B. B. Dubey, N. Chauhan, and S. Pant, RRDD: reliable route based data dissemination technique in VANET, in Proceedings of the 2011 International Conference on Communication Systems and Network Technologies (CSNT), 2011.
[10] X. Bai, M. Gong, Z. Gao, and S. Li, Reliable and efficient data dissemination protocol in VANETs, in Proceedings of the IEEE 8th
[11] International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM), 2012
[12] S. Lokesh, S. Malathy, K. Murugan and, G. Sudhasadasivam, Adaptive Slot Allocation and Bandwidth Sharing for Prioritized Handoff Calls in Mobile Networks, International Journal of Computer Science and Information Security, Vol.8 , pp.52-57, 2010.
[13] S.Lokesh and G.Balakrishnan, Robust Speech Feature Prediction Using Mel-LPC to Improve Recognition Accuracy, Information Technology Journal, vol. 11, pp. 1644-1699, 2012.
[14] Lokesh, S., Malarvizhi Kumar, P., Ramya Devi, M. et al. An Automatic Tamil Speech Recognition system by using Bidirectional Recurrent Neural Network with Self-Organizing Map, Neural Computing & Applications. https://doi.org/10.1007/s00521-018-3466-5, 2018.
[15] Lokesh, S. & Devi, M.R. Speech recognition system using enhanced mel frequency cepstral coefficient with windowing and framing method, Cluster Computing, https://doi.org/10.1007/s10586-017-1447-6, 2017.
[16] Kanisha, B., Lokesh, S., Kumar, P.M. et al. Speech recognition with improved support vector machine using dual classifiers and cross fitness validation Pers Ubiquit Comput, https://doi.org/10.1007/s00779-018-1139-0, 2018.
[17] S.Lokesh and G.Balakrishnan, Speech Enhancement using Mel-LPC Cepstrum and Vector Quantization for ASR, European Journal of Scientific Research, vol.73,No.2, pp. 202-209, 2012.
[18] Selvaraj, L., and Ganesan, B, Enhancing speech recognition using improved particle swarm optimization based Hidden Markov Model. Scientific World J. DOI: 10.1155/2014/270576. 2014.
[19] S. Lokesh, G. Balakrishnan, S. Malathy, and K. Murugan, Computer Interaction to human through photorealistic facial model for inter-process communication, in International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-7. 2010,
[20] Priyan Malarvizhi Kumar, S. Lokesh, R. Varatharajan, Gokulnath Chandra Babu, P. Parthasarathy, Cloud and IoT based disease prediction and diagnosis system for healthcare using Fuzzy neural classifier, Future Generation Computer Systems, . https://doi.org/10.1016/j.future.2018.04.036, 2018
[21] Lokesh, S., Kanisha, B., Nalini, S. et al. Speech to speech interaction system using Multimedia Tools and Partially Observable Markov Decision Process for visually impaired students, Multimed Tools Appl ., https://doi.org/10.1007/s11042-018-6264-2, pp.1-20, 2018
[22] Kumar, R., & Lokesh, S, Fast and secure transmission of information among groups using a key management scheme. International Journal of Computer Science and Mobile Computing, Vol.4(11), pp.40–47,2015
[23] B. Manikandan, T. Senthilkumar, Dr. S. Lokesh, M. Ramya Devi, Opportunities and Challenges in Airborne Internet with Fly-In, Fly-Out Infrastructure, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Vol. 4 Issue 4, pp.1464-1469, March-April 2018.
[24] T. Senthilkumar, B. Manikandan, M. Ramya Devi, S. Lokesh, Technologies Enduring in Internet of Medical Things (IoMT) for Smart Healthcare System, International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3 Issue 5, pp. 566-572, May-June 2018.