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Automated Traffic Density Control With Emergency Service System

Pavan Kumar B N1 , Raghavendra J2 , Rakesh M3 , Laxmi B Rananavare4

Section:Research Paper, Product Type: Journal Paper
Volume-07 , Issue-14 , Page no. 292-295, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7si14.292295

Online published on May 15, 2019

Copyright © Pavan Kumar B N , Raghavendra J, Rakesh M , Laxmi B Rananavare . 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: Pavan Kumar B N , Raghavendra J, Rakesh M , Laxmi B Rananavare, “Automated Traffic Density Control With Emergency Service System,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.14, pp.292-295, 2019.

MLA Style Citation: Pavan Kumar B N , Raghavendra J, Rakesh M , Laxmi B Rananavare "Automated Traffic Density Control With Emergency Service System." International Journal of Computer Sciences and Engineering 07.14 (2019): 292-295.

APA Style Citation: Pavan Kumar B N , Raghavendra J, Rakesh M , Laxmi B Rananavare, (2019). Automated Traffic Density Control With Emergency Service System. International Journal of Computer Sciences and Engineering, 07(14), 292-295.

BibTex Style Citation:
@article{N_2019,
author = {Pavan Kumar B N , Raghavendra J, Rakesh M , Laxmi B Rananavare},
title = {Automated Traffic Density Control With Emergency Service System},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {07},
Issue = {14},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {292-295},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1140},
doi = {https://doi.org/10.26438/ijcse/v7i14.292295}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i14.292295}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1140
TI - Automated Traffic Density Control With Emergency Service System
T2 - International Journal of Computer Sciences and Engineering
AU - Pavan Kumar B N , Raghavendra J, Rakesh M , Laxmi B Rananavare
PY - 2019
DA - 2019/05/15
PB - IJCSE, Indore, INDIA
SP - 292-295
IS - 14
VL - 07
SN - 2347-2693
ER -

           

Abstract

Traffic jam is vehicles move in slower motion because there are more vehicles than the road capacity. This makes Traveling time longer and increases queuing and waiting time in traffic. Our proposed System control the traffic jam by survey the traffic density, efficiency and provide emergency services In this proposed project. A method is implemented for detecting the traffic congestion with the help of a monitoring system by using sensors providing emergency services, if any emergency situations like an accident, vehicle Malfunctioning happens. [1]The first module involves in the smart signal pole which scans the volume of the traffic, then as per the traffic volume signal timing will be increased or decreased accordingly. [2] The second module involves when traffic volume is increased to high an emergency alert message is triggered in a display, by seeing this alert message traveller can choose the alternate way for his destination. [3] Third module emergency condition like accidents panic button is provided by triggering this button manually an emergency message will be sent to Ambulance, Traffic Police, this helps to clear the traffic as early as possible.

Key-Words / Index Term

Smart signal pole, traffic congestion / traffic volume, panic button, emergency message

References

[1]. 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.
[2]. Sk Riyazhussain, Riyazhussain, C.R.S. Lokesh, P.Vamsikrishna, Goli Rohan, “Raspberry Pi Controlled Traffic Density Monitoring System”, IEEE WiSPNET 2016 conference, 2016.
[3]. Abdullahi Chowdhury, “Priority Based and Secured Traffic Management System for Emergency Vehicle using IoT”.
[4]. Fevzi Yasin Kababulut, Damla Kuntalp, Timur Duzenli, “New Methods of Density Estimation for Vehicle Traffic.