Volume 8, Issue 5, October 2020, Page: 117-126
Economical and Safe Design for Low-Traffic Long-Roads Illumination Control System by Using Image Recognition Technique
Muhammad M. A. S. Mahmoud, Process Automation Engineering Department, Baku Higher Oil School, Baku, Azerbaijan
Leyla Muradkhanli, Process Automation Engineering Department, Baku Higher Oil School, Baku, Azerbaijan
Received: Oct. 14, 2020;       Accepted: Oct. 23, 2020;       Published: Nov. 11, 2020
DOI: 10.11648/j.jeee.20200805.11      View  29      Downloads  29
The paper covers analysis and investigation of lighting automation system in low traffic roads. The main objective is to provide optimal solution between expensive safe design utilizes continuous lighting at night for the complete road, or sacrifice the safety to minimize the cost of energy consumption by relying on using vehicles lighting in low traffic road designed without lighting systems. Each of these two scenarios is extremely significant issue and contradicting to each other from economic point of view. By taking into account both of these factors, smart lighting control system is proposed using Image Recognition Technique. In this proposal, the road is sectionalized into zones. By using motion sensors and Infra-Red cameras distributed and installed in each zone, any moving object can be detected and its image can be captured and analyzed using Image Recognition Technique to check whether the object is a vehicle or not. Matlab code is written and tested using different images to validate the code output. In case a vehicle is detected, the control system of the road lighting illuminates only the zone that the vehicle passes through. Economic analysis is provided in this paper to support the value of using this design of lighting control system. “Saving Norm” of $1,171.19/km/Year is calculated for the proposed system. This “Saving Norm” is a good index to supports project management for both project decision makers and for cash-flow controllers.
Road Lighting Control, Road Lighting Automation, Vehicle Image Recognition, Smart Grid, Power Management, Low Traffic Roads
To cite this article
Muhammad M. A. S. Mahmoud, Leyla Muradkhanli, Economical and Safe Design for Low-Traffic Long-Roads Illumination Control System by Using Image Recognition Technique, Journal of Electrical and Electronic Engineering. Vol. 8, No. 5, 2020, pp. 117-126. doi: 10.11648/j.jeee.20200805.11
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Cornell University. “What is the traffic volume cut off between high-volume and low volume?” Cornell Local Roads Program. https://www.clrp.cornell.edu/q-a/151-low-volume.html#:~:text=1%2C000%20vehicles%20per%20day%20is,upon%20context%20including%20functional%20classification.
P. V. K. Bhangdiya, “Low Power Consumption of LED Street Light,” International Conference on Global Trends in Signal Processing, Information Computing and Communication, 2016.
Noor Lina Ramli, N. Mohd Yamin, “Implementation of passive infrared sensor in street lighting automation system,” ARPN Journal of Engineering and Applied Sciences, 2015.
Sindhu. A. M, Jerin George, Sumit Roy, Chandra J, “Smart Streetlight Using IR Sensors,” IOSR Journal of Mobile Computing & Application (IOSR-JMCA), 2016.
Ms. M. Kokilavani, Dr. A. Malathi “Smart Street Lighting System using IoT,” International Journal of Advanced Research in Applied Science and Technology ISSN, 2017.
Faiz Ansari, Saima Khan, Aakash Jaiswar, Pooja Khiste, Milind Nemade, “Zigbee Based Smart Street Light Control System,” International Journal of Innovative Research in Science, Engineering and Technology, 2016.
Aman Kumar Akash Oraon Siddharth Agarwal, “Intelligent Street Lighting System Using Gsm,” International Journal of Engineering Science Invention, 2013.
D. SA. S. Rajasri, “Automatic streel light control system using wireless sensor networks,” in IEEE international Conference on Power, Control, Signal and Instrumentation Engineering, 2017.
Muhammad M. A. S. Mahmoud, “Typical Economic Model for Calculating the Saving Norm of Replacement HPS Street Lighting by LED Fixtures in Access Road of Gas Production Company at GCC”, 5th International Conference on Electrical and Electronic Engineering (ICEEE), 2018.
Tvilight, “Energy savings through dynamic dimming on the S100 in Nijmegen”, Intelligent Roadway Lighting. https://www.tvilight.com/2016/10/18/case-study-public-roadways/.
Intelilight, “Intelligent Street Lighting,” https://intelilight.eu/.
Muhammad M. A. S. Mahmoud “Economic Model for Calculating the Global Saving Norm of Replacement High-Intensity Discharge Lamps with LED Lamp in Oil and Gas Plant”, IEEE 61st International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON) 2020.
Reham Faour, Bassel Shanwar, Nizar Zarka, “Recognition of Vehicle Numberplate using MATLAB”, DOI: 10.13140/RG.2.1.1459.8640, 2016.
M. K. B. Ashan and N. G. J. Dias, Recognition of Vehicle License Plates using MATLAB”, European International Journal of Science and Technology Vol. 5 No. 6, August, 2016.
Jing-Ming Guo; Chih-Hsien Hsia; KokSheik Wong and others, Nighttime Vehicle Lamp Detection and Tracking With Adaptive Mask Training”, IEEE Transactions on Vehicular Technology, Vol. 65, Issue: 6, June 2016.
Hazim Hamza Supervisor, Paul WhelanNight, “Time Car Recognition Using MATLAB”, M-Eng in Electronic Systems 2013.
Pacificlamp.com, https://pacificlamp.com/street-light.asp.
Republic, “tariffcouncil.gov.az,”2016. http://www.tariffcouncil.gov.az/?/az/content/70/.
A. A. Circuits, “Low-Cost Programmable Logic Controllers for the Frugal Engineer,” https://www.allaboutcircuits.com/news/low-cost-programmable-logic-controllers-for-the-frugal-engineer/.
Alibaba, “Signal 2cores twisted pair armoured rs485 cable price,” https://www.alibaba.com/product-detail/Signal-2cores-twisted-pair-armoured-rs485_62193928910.html?spm=a2700.7724857.normalList.9.38b06425h3AeQA&s=p.
Muhammad M. A. S. Mahmoud, Detection of single Line-to-Ground Faults Through Impedance in Mesh Distribution Network, IEEE Modern Electrical Power System - MEPS15, Wroclaw 2015.
Muhammad M. A. S. Mahmoud Review of Fuzzy and ANN Fault Location Methods for Distribution Power System in Oil and Gas Sectors, IFAC, Elsevier 2018.
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