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Smart Traffic System

Jayashree Jadhav1 , Rupali Bhagat2 , Trupti Chatale3 , Sandhya Jamdade4 , Priti Sarnaik5

Section:Survey Paper, Product Type: Journal Paper
Volume-7 , Issue-4 , Page no. 667-670, Apr-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i4.667670

Online published on Apr 30, 2019

Copyright © Jayashree Jadhav, Rupali Bhagat, Trupti Chatale, Sandhya Jamdade, Priti Sarnaik . 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: Jayashree Jadhav, Rupali Bhagat, Trupti Chatale, Sandhya Jamdade, Priti Sarnaik, “Smart Traffic System,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.667-670, 2019.

MLA Style Citation: Jayashree Jadhav, Rupali Bhagat, Trupti Chatale, Sandhya Jamdade, Priti Sarnaik "Smart Traffic System." International Journal of Computer Sciences and Engineering 7.4 (2019): 667-670.

APA Style Citation: Jayashree Jadhav, Rupali Bhagat, Trupti Chatale, Sandhya Jamdade, Priti Sarnaik, (2019). Smart Traffic System. International Journal of Computer Sciences and Engineering, 7(4), 667-670.

BibTex Style Citation:
@article{Jadhav_2019,
author = {Jayashree Jadhav, Rupali Bhagat, Trupti Chatale, Sandhya Jamdade, Priti Sarnaik},
title = {Smart Traffic System},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2019},
volume = {7},
Issue = {4},
month = {4},
year = {2019},
issn = {2347-2693},
pages = {667-670},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4096},
doi = {https://doi.org/10.26438/ijcse/v7i4.667670}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i4.667670}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4096
TI - Smart Traffic System
T2 - International Journal of Computer Sciences and Engineering
AU - Jayashree Jadhav, Rupali Bhagat, Trupti Chatale, Sandhya Jamdade, Priti Sarnaik
PY - 2019
DA - 2019/04/30
PB - IJCSE, Indore, INDIA
SP - 667-670
IS - 4
VL - 7
SN - 2347-2693
ER -

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Abstract

The Density Based Signal Management in traffic system is to clarify traffic congestion problem which is a big problem in many various modern cities, and many population face this problem. For that, In our project we designed the framework for dynamic traffic light control system, and the automatic traffic light control system, developed the model with codes to help build the system. Generally, each traffic light on Smart Signal System an intersection is assigned set signal time. This is possible to propose dynamically time-based coordination schemes where a green signal time of the traffic lights is assigned base on the present conditions of vehicle density in that traffic.

Key-Words / Index Term

RFID Tag, Sensor, time, Traffic Detector

References

[1] Cullen Rhodes and Soufiene Djahel School of Computing, Mathematics and Digital Technologies, Manchester Metropolitan University, UK TRADER: Traffic Light Phases Aware Driving for Reduced Traffic Congestion in Smart Cities.
[2] Y M Jagadeesh, G. Merlin Suba, S Karthik, and K Yokesh Smart Autonomous Traffic Light Switching by Traffic Density Measurement through Sensors. International Conference on Computers, Communications and Systems 2015.
[3] Bilal Ghazal Faculty of Sciences IV Lebanese University (UL) Zahle, Lebanon Smart Traffic Light Control System.
[4] Shubhangi M. Deshmukh Bhairavi, N. Savant Traffic Congestion Alerting System.
[5] Zuzana Bělinová, Tomáš Tichý, Jan Přikryl, Kristýna Cikhardtová Smarter traffic control for middle-sized cities using adaptive algorithm.
[6] Design of an Intelligent Auto Traffic Signal Controller with Emergency Override by Geetha.E, V.Viswanadha, Kavitha.G. International Journal of Engineering Science and Innovative Technology (IJESIT) Volume 3, Issue 4, July 2014
[7] Density Based Intelligent Traffic Signal System Using PIC Microcontroller by G.Kavya, B.Sarany. International Journal for Research in Applied Science & Engineering Technology (IJRASET).
[8] Agent- Based Traffic Simulator for Autonomous Vehicles by K. Saha1* , S. Rathee2 Vol.5, Issue.2, pp.42-45, April (2017)