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A Cloud-Based Smart Traffic Management in the Internet-of-Things (IoT) Environment

Sravya E U1 , Jisha George A2

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-3 , Page no. 303-309, Mar-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i3.303309

Online published on Mar 31, 2019

Copyright © Sravya E U, Jisha George A . 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.

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IEEE Style Citation: Sravya E U, Jisha George A, “A Cloud-Based Smart Traffic Management in the Internet-of-Things (IoT) Environment,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.3, pp.303-309, 2019.

MLA Style Citation: Sravya E U, Jisha George A "A Cloud-Based Smart Traffic Management in the Internet-of-Things (IoT) Environment." International Journal of Computer Sciences and Engineering 7.3 (2019): 303-309.

APA Style Citation: Sravya E U, Jisha George A, (2019). A Cloud-Based Smart Traffic Management in the Internet-of-Things (IoT) Environment. International Journal of Computer Sciences and Engineering, 7(3), 303-309.

BibTex Style Citation:
@article{U_2019,
author = {Sravya E U, Jisha George A},
title = {A Cloud-Based Smart Traffic Management in the Internet-of-Things (IoT) Environment},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2019},
volume = {7},
Issue = {3},
month = {3},
year = {2019},
issn = {2347-2693},
pages = {303-309},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3835},
doi = {https://doi.org/10.26438/ijcse/v7i3.303309}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i3.303309}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3835
TI - A Cloud-Based Smart Traffic Management in the Internet-of-Things (IoT) Environment
T2 - International Journal of Computer Sciences and Engineering
AU - Sravya E U, Jisha George A
PY - 2019
DA - 2019/03/31
PB - IJCSE, Indore, INDIA
SP - 303-309
IS - 3
VL - 7
SN - 2347-2693
ER -

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Abstract

Traffic on public roads all over the world is a crucial problem and is becoming a major pretend to conclusion makers. Urban region have a great stack of traffic jams. Cloud computing is turning a good engineering to provide a potent and scalable computing at low cost. This paper proposes a cloud-controlled smart traffic management system based on Internet-of-Things (IoT). The proposed system collects vehicle count at various roads with the help of RFID receivers and uses this data to manage traffic efficiently. It will be capable of overcoming all the pain points observed with minimum cost and best-in-class quality of services.

Key-Words / Index Term

Traffic Management, Cloud Computing, Internet of Things (IoT), Radio-frequency identification (RFID), Service Oriented Architecture (SOA)

References

[1] Geoffrey Raines, “Cloud Computing and SOA”. Systems Engineering at MITRE Service-Oriented Architecture Series.
[2] Geoffrey Raines, “Cloud Computing and SOA”. Systems Engineering at MITRE Service-Oriented Architecture Series.
[3] Arun.V, Dr.M.Poongothai, ” Implementation of IoT Based Intelligent Transportation System”, Asian Journal of Applied Science and Technology, Vol. 2, Issue. 2, pp.933 – 946, 2018.
[4] Hon Fong Chong, Danny Wee Kiat Ng, “Development of IoT Device for Traffic Management System”, IEEE Student Conference on Research and Development (SCOReD), Malaysia, 2016, ISBN 9781-5090-2948-8
[5] Jan Vascak, Jakub Hvizdos† and Michal Puheim, “Agent-Based Cloud Computing Systems for Traffic Management”, International Conference on Intelligent Networking and Collaborative Systems (INCoS), Czech Republic, 2016, ISBN 978-1-5090-4124-4
[6] Maram Bani Younes, Azzedine Boukerche, “An Intelligent Traffic Light Scheduling Algorithm Through VANETs”, 39th Annual IEEE Conference on Local Computer Networks Workshops, Canada, 2014, ISBN 978-1-4799-3784-4
[7] Aiswaria. Mohan, Janet Lourds. Rani, “An Intelligent Algorithm for Traffic Signal Scheduling”, International Journal of Chemical, Environmental & Biological Sciences (IJCEBS), Vol. 1, Issue. 1, pp.119 – 123, 2013
[8] Wu He, Gongjun Yan, and Li Da Xu, “Developing Vehicular Data Cloud Services in the IoT Environment”, IEEE Transactions on Industrial Informatics, Vol. 10, Issue. 2, pp.1587 – 1595, 2014