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Intelligent Automatic Traffic Control On Time Basis
Subject area: Science,Engineering and Technology · Area of research: Electronics and Communication Engineering
Abstract
In the world today, urban mobility is one of the unprecedented challenges to be tackled in a big city's administration. This paper analyzes the ever- urban population around the world and discusses the traffic systems in densely populated towns. In addition, it proposes an advanced traffic management system, implemented using the Internet of Things (IoT).The system is supported by a circuit built into the vehicle, which operates with clustered systems using RFID. The system's functionalities include efficient control of traffic light, identification of stolen vehicle and anti-theft security mechanism. Presentation of the proposed architecture and work with Hadoop involving Big Data Analytics.Moreover, supervised learning techniques are proposed that would help determine road standard, estimate overall traffic flow, calculate average speed on a road of distinct types of vehicles, and analyze travel path of a vehicle.
Keywords
Internet of Things (IoT), IR(infrared) sensor, Quadriplegia, Raspberry pi,RFID (radio frequency identification)
References
[1] M. Abdoos, N. Mozayani, and A. L. C. Bazzan, Traffic light control in non -stationary environments based on multi agent Q-learning ,‖in Proc. 14th Int. IEEE Conf. Intell. Transp. Syst., Oct. 2011, pp. 580–1585
[2] Intelligent Ambulance with Traffic Control (Gargi Beri, Pankaj Ganjare, Amruta Gate, Ashwin Channawar, Vijay Gaikwad.
[3] Automated Emergency System in Ambulance to Control Traffic Signals using IoT (Dr.A. Balamurugan, G. Navin Siva Kumar, S. Raj Thilak, P. Selvakumar)
[4] ]S. Sharma, A. Pithora, G. Gupta, M. Goel, and M. Sinha, Traffic light priority control for emergency vehicle using RFID,‖Int. J. Innov. Eng. Technol., vol. 2, no. 2, pp. 363 –366, 2013. http://www.iject.org/vol63/1/29-debanjan- sarkar.pdf.
[5] Amrita Rai and Govind Singh Patel Multiple Traffic Control Using Wireless Sensor and Density Measuring Camera. Sensors & Transducers Journal Vol. 94, Issue 7, July 2008, pp. 126-132.
How to cite this paper
@article{1702136,
author = {K. Dharmendra, K. Venkata Sai Tharun, K. Sagar Kiran, M. Sai Chenna Kesava Rao},
title = {Intelligent Automatic Traffic Control On Time Basis},
journal = {Iconic Research And Engineering Journals},
year = {2020},
volume = {3},
number = {10},
pages = {23-28},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1702136.pdf},
abstract = {In the world today, urban mobility is one of the unprecedented challenges to be tackled in a big city's administration. This paper analyzes the ever- urban population around the world and discusses the traffic systems in densely populated towns. In addition, it proposes an advanced traffic management system, implemented using the Internet of Things (IoT).The system is supported by a circuit built into the vehicle, which operates with clustered systems using RFID. The system's functionalities include efficient control of traffic light, identification of stolen vehicle and anti-theft security mechanism. Presentation of the proposed architecture and work with Hadoop involving Big Data Analytics.Moreover, supervised learning techniques are proposed that would help determine road standard, estimate overall traffic flow, calculate average speed on a road of distinct types of vehicles, and analyze travel path of a vehicle.},
keywords = {Internet of Things (IoT), IR(infrared) sensor, Quadriplegia, Raspberry pi,RFID (radio frequency identification)},
month = {April},
}