Vehicular Traffic Management Using Cloud Network App

Jayshree Dayanand Mallapur; Renuka Takappa Ambiger

doi:doi:10.11648/j.ijsts.20170506.15

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Vehicular Traffic Management Using Cloud Network App

Jayshree Dayanand Mallapur, Renuka Takappa Ambiger

Published in International Journal of Science, Technology and Society (Volume 5, Issue 6)

Received: 30 September 2017 Accepted: 20 October 2017 Published: 29 November 2017

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Abstract

In cities around the world commuters complain that traffic congestion makes the travel inconvenient and arduous. Vehicular networking and communication system is an area of significant importance. In our increasingly connected and mobile world, he state of road density is an important factor in evaluating travel times and travelling routes. Effective vehicular connectivity techniques can significantly enhance efficiency of travel, reduce traffic incidents and improve safety, mitigate the impact of congestion and overall provide more comfortable experience. Our solution delivers cloud approach to the traffic management by pulling information about the traffic density in the road junction. This translates to improved service by reducing unnecessary stops and elevates the comfort in travel.

Published in	International Journal of Science, Technology and Society (Volume 5, Issue 6)
DOI	10.11648/j.ijsts.20170506.15
Page(s)	203-209
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Communication, Vehicular Networks, Cloud Approach, Internet of Things

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APA Style

Jayshree Dayanand Mallapur, Renuka Takappa Ambiger. (2017). Vehicular Traffic Management Using Cloud Network App. International Journal of Science, Technology and Society, 5(6), 203-209. https://doi.org/10.11648/j.ijsts.20170506.15

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ACS Style

Jayshree Dayanand Mallapur; Renuka Takappa Ambiger. Vehicular Traffic Management Using Cloud Network App. Int. J. Sci. Technol. Soc. 2017, 5(6), 203-209. doi: 10.11648/j.ijsts.20170506.15

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AMA Style

Jayshree Dayanand Mallapur, Renuka Takappa Ambiger. Vehicular Traffic Management Using Cloud Network App. Int J Sci Technol Soc. 2017;5(6):203-209. doi: 10.11648/j.ijsts.20170506.15

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@article{10.11648/j.ijsts.20170506.15,
  author = {Jayshree Dayanand Mallapur and Renuka Takappa Ambiger},
  title = {Vehicular Traffic Management Using Cloud Network App},
  journal = {International Journal of Science, Technology and Society},
  volume = {5},
  number = {6},
  pages = {203-209},
  doi = {10.11648/j.ijsts.20170506.15},
  url = {https://doi.org/10.11648/j.ijsts.20170506.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsts.20170506.15},
  abstract = {In cities around the world commuters complain that traffic congestion makes the travel inconvenient and arduous. Vehicular networking and communication system is an area of significant importance. In our increasingly connected and mobile world, he state of road density is an important factor in evaluating travel times and travelling routes. Effective vehicular connectivity techniques can significantly enhance efficiency of travel, reduce traffic incidents and improve safety, mitigate the impact of congestion and overall provide more comfortable experience. Our solution delivers cloud approach to the traffic management by pulling information about the traffic density in the road junction. This translates to improved service by reducing unnecessary stops and elevates the comfort in travel.},
 year = {2017}
}

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TY  - JOUR
T1  - Vehicular Traffic Management Using Cloud Network App
AU  - Jayshree Dayanand Mallapur
AU  - Renuka Takappa Ambiger
Y1  - 2017/11/29
PY  - 2017
N1  - https://doi.org/10.11648/j.ijsts.20170506.15
DO  - 10.11648/j.ijsts.20170506.15
T2  - International Journal of Science, Technology and Society
JF  - International Journal of Science, Technology and Society
JO  - International Journal of Science, Technology and Society
SP  - 203
EP  - 209
PB  - Science Publishing Group
SN  - 2330-7420
UR  - https://doi.org/10.11648/j.ijsts.20170506.15
AB  - In cities around the world commuters complain that traffic congestion makes the travel inconvenient and arduous. Vehicular networking and communication system is an area of significant importance. In our increasingly connected and mobile world, he state of road density is an important factor in evaluating travel times and travelling routes. Effective vehicular connectivity techniques can significantly enhance efficiency of travel, reduce traffic incidents and improve safety, mitigate the impact of congestion and overall provide more comfortable experience. Our solution delivers cloud approach to the traffic management by pulling information about the traffic density in the road junction. This translates to improved service by reducing unnecessary stops and elevates the comfort in travel.
VL  - 5
IS  - 6
ER  -

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Author Information

Jayshree Dayanand Mallapur

Department of Electronics and Communication Engineering, Basaveshwar Engineering College, Bagalkot, India
Renuka Takappa Ambiger

Department of Computer Science and Engineering, Head of Department, B. V. V. S. Polytechnic, Bagalkot, India

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APA Style

Jayshree Dayanand Mallapur, Renuka Takappa Ambiger. (2017). Vehicular Traffic Management Using Cloud Network App. International Journal of Science, Technology and Society, 5(6), 203-209. https://doi.org/10.11648/j.ijsts.20170506.15

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ACS Style

Jayshree Dayanand Mallapur; Renuka Takappa Ambiger. Vehicular Traffic Management Using Cloud Network App. Int. J. Sci. Technol. Soc. 2017, 5(6), 203-209. doi: 10.11648/j.ijsts.20170506.15

Copy | Download

AMA Style

Jayshree Dayanand Mallapur, Renuka Takappa Ambiger. Vehicular Traffic Management Using Cloud Network App. Int J Sci Technol Soc. 2017;5(6):203-209. doi: 10.11648/j.ijsts.20170506.15

Copy | Download

@article{10.11648/j.ijsts.20170506.15,
  author = {Jayshree Dayanand Mallapur and Renuka Takappa Ambiger},
  title = {Vehicular Traffic Management Using Cloud Network App},
  journal = {International Journal of Science, Technology and Society},
  volume = {5},
  number = {6},
  pages = {203-209},
  doi = {10.11648/j.ijsts.20170506.15},
  url = {https://doi.org/10.11648/j.ijsts.20170506.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsts.20170506.15},
  abstract = {In cities around the world commuters complain that traffic congestion makes the travel inconvenient and arduous. Vehicular networking and communication system is an area of significant importance. In our increasingly connected and mobile world, he state of road density is an important factor in evaluating travel times and travelling routes. Effective vehicular connectivity techniques can significantly enhance efficiency of travel, reduce traffic incidents and improve safety, mitigate the impact of congestion and overall provide more comfortable experience. Our solution delivers cloud approach to the traffic management by pulling information about the traffic density in the road junction. This translates to improved service by reducing unnecessary stops and elevates the comfort in travel.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Vehicular Traffic Management Using Cloud Network App
AU  - Jayshree Dayanand Mallapur
AU  - Renuka Takappa Ambiger
Y1  - 2017/11/29
PY  - 2017
N1  - https://doi.org/10.11648/j.ijsts.20170506.15
DO  - 10.11648/j.ijsts.20170506.15
T2  - International Journal of Science, Technology and Society
JF  - International Journal of Science, Technology and Society
JO  - International Journal of Science, Technology and Society
SP  - 203
EP  - 209
PB  - Science Publishing Group
SN  - 2330-7420
UR  - https://doi.org/10.11648/j.ijsts.20170506.15
AB  - In cities around the world commuters complain that traffic congestion makes the travel inconvenient and arduous. Vehicular networking and communication system is an area of significant importance. In our increasingly connected and mobile world, he state of road density is an important factor in evaluating travel times and travelling routes. Effective vehicular connectivity techniques can significantly enhance efficiency of travel, reduce traffic incidents and improve safety, mitigate the impact of congestion and overall provide more comfortable experience. Our solution delivers cloud approach to the traffic management by pulling information about the traffic density in the road junction. This translates to improved service by reducing unnecessary stops and elevates the comfort in travel.
VL  - 5
IS  - 6
ER  -

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