The A Novel High-Priority Traffic Light System Based on a Smart Technique
Article Sidebar
Main Article Content
Abstract
In the world today, traffic congestion in most cities is a severe problem. Recently, the system used is based on a fixed-time system in traffic, which cannot provide incompetence if one or more lane has higher traffic than others. The higher traffic on one side lane needs a longer operation time for a green signal as compared to the fixed time-based systems. This paper proposed a High Priority Traffic Light system HPTL as a technique to compute the period time of green and red lights based on the density of traffic present at that time. To fix this problem an automatic traffic light control system should proposed. The proposed system will be achieved by using PIR proximity Infrared Sensors. When the density is computed, the luminous period of the green and red signal will be selected to help the microcontroller. On each roadside, the sensors can detect the traffic density and calculate the vehicles in a specific lane then forward the density value to the microcontroller. The microcontroller will select the free lane and the high-traffic lane and then assign the priority system. The proposed system is successful in investing time, reducing vehicle density, and increasing reliability.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Licensed under a CC-BY license: https://creativecommons.org/licenses/by-nc-sa/4.0/
How to Cite
References
R. Hussein, S. Sharma, and V. Sharma, “WSN Applications: Automated Intelligent Traffic Control System Using Sensors,” International Journal of Soft Computing and Engineering (IJSCE), no. 3, p. 77, 2013.
Naveen, M., et al. "Density based Traffic Signals Controlling Using ARDUINO and IR Sensors." International Journal of Electronics Engineering, ISSN (2019): 0973-7383.
D. Hartanti, R. N. Aziza, and P. C. Siswipraptini, “Optimization of smart traffic lights to prevent traffic congestion using fuzzy logic,” Telkomnika (Telecommunication Computing Electronics and Control), vol. 17, no. 1, pp. 320–327, 2019, doi: 10.12928/TELKOMNIKA.v17i1.10129.
N. Rida, M. Ouadoud, A. Hasbi, and S. Chebli, “Adaptive Traffic Light Control System Using Wireless Sensors Networks,” Colloquium in Information Science and Technology, CIST, vol. 2018-Octob, pp. 552–556, 2018, doi: 10.1109/CIST.2018.8596620.
R. Vani, N. Thendral, J. C. Kavitha, and N. P. G. Bhavani, “Intelligent Traffic Control System with Priority to Emergency Vehicles,” IOP Conference Series: Materials Science and Engineering, vol. 455, no. 1, 2018, doi: 10.1088/1757-899X/455/1/012023.
G. R. Adesina, “Development Of A Microcontroller-Based Traffic Light System For Road Intersection Control,” International Journal of Scientific & Technology Research, vol. 3, no. 5, pp. 209–212, 2014.
V. S. T. Vishakha S.Thakare, “Design of Smart Traffic Light Controller Using Embedded System,” IOSR Journal of Computer Engineering, vol. 10, no. 1, pp. 30–33, 2013, doi: 10.9790/0661-01013033.
M. F. Naseer, K. B. Khan, and M. Rahee, Muhammad Sannan Khaliq, Smart Road-Lights and Auto Traffic-Signal Controller with Emergency Override : First International Conference , INTAP 2018 , Bahawalpur , Pakistan , Smart Road-Lights and Auto Traf fi c-Signal Controller with Emergency Override, no. January. Springer Singapore, 2019.
M. Mohammadian, “Modelling and Adaptive Systems for Smart Cities,” 2018 7th International Conference on Reliability, Infocom Technologies and Optimization: Trends and Future Directions, ICRITO 2018, pp. 495–500, 2018, doi: 10.1109/ICRITO.2018.8748465.
N. C. Maduka, I. I. Ajibade, and M. Bello, “Modelling and Optimization of Smart Traffic Light Control System,” Proceedings of the 2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development, NIGERCON 2022, pp. 1–5, 2022, doi: 10.1109/NIGERCON54645.2022.9803073.
A. A. Hussein, “Energy Consumption Reading System Design based on Microcontroller with TL-PA2010KIT Adapter,” ICPC2T 2022 - 2nd International Conference on Power, Control and Computing Technologies, Proceedings, pp. 1–5, 2022, doi: 10.1109/ICPC2T53885.2022.9777001.