| Peer-Reviewed

Vehicular Traffic Management Using Cloud Network App

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), 2024. Published by Science Publishing Group

Keywords

Communication, Vehicular Networks, Cloud Approach, Internet of Things

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Cite This Article
  • 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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    T1  - Vehicular Traffic Management Using Cloud Network App
    AU  - Jayshree Dayanand Mallapur
    AU  - Renuka Takappa Ambiger
    Y1  - 2017/11/29
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    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
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    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
  • Department of Electronics and Communication Engineering, Basaveshwar Engineering College, Bagalkot, India

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

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