An Embedded Fuzzy Logic Based Application for Density Traffic Control System

Ajao Lukman Adewale(1*), Ajao Falilat Jumoke(2), Mutiu Adegboye(3), Abideen Ismail(4),


(1) Department of Computer Engineering, Federal University of Technology, Minna
(2) Department of Computer Science, Kwara State Universty, Molete, Ilorin
(3) Department of Computer Engineering, Federal University Oye-Ekiti
(4) Department of Computer Engineering, University of Maiduguri
(*) Corresponding Author

Abstract


The control of density traffic at cross junction road usually manned by human efforts or implementation of automatic traffic light system. This system seem and proves to be inefficient with some challenges. The major constraints of this traffic control are as a result of the inability of most traffic control systems to assign appropriate waiting time for vehicles based on the lane density. Also with little or no consideration for pedestrians, emergency and security agents priorities. In view of this, an intelligent density traffic control system using  (fuzzy logic) which is capable of providing priority to the road users based on the density and emergency situations was developed and presented in this paper. This system will obtain the approximate amount of vehicle and presence of pedestrians respectfully on each lane with help of Infrared Sensors (IR) and siren detection system for emergency and security road users. The working principle of this system depending on the logic inputs rules given into the processing unit by the (sensors, S1 and S2) which helps the system to generates a timing sequence that best suit the number of vehicles and pedestrians available on the lane at point in time.

Keywords


Approximate quantity; Automatic traffic light; Emergency; Fuzzy logic; Infrared sensor; Pedestrians; Siren detection system

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References


F. B. Sharma, A. Sharma, and N. Sharma, “Fuzzy Logic Application for Traffic Control,” International Journal on Emerging Technology, Vol. 1, No. 1, pp. 41-45, 2010.

S. Chattaraj, S. Bansal, and A. Chandra, “An Intelligent Traffic Control System using RFID,“ IEEE Potentials, pp. 40-43, 2009.

L. A. Ajao, J. Agajo, J. G. Kolo, D. Maliki, and M. A. Adegboye, “Wireless Sensor Networks Based-Internet of Thing for Agro-Climatic Parameters Monitoring and Real-Time Data Acquisition,” Journal of Asian Scientific Research, Vol. 7, No. 6, pp. 240-252, 2017.

C. Barz, C. Todea, T. Latinovic, D. M. Preradovic, S. Deaconu, and A. Berdie, “Intelligent traffic control system using PLC,” International Conference on Innovative Ideas in Science, Vol. 144(2016), pp. 1-7, 2016.

P. Sinhmar, “Intelligent Traffic Light and Density Control using IR Sensors and Microcontroller,” International Journal of Advanced Technology and Engineering Research, Vol. 2, pp. 30-35, 2012.

M. A. Khattak, “PLC based intelligent traffic control system,” International Journal of Electrical & Computer Sciences IJCS-IJECS Vol. 11, No. 6, pp. 69-73, 2011.

Z. T. Wadhah, and N. F. Rabah. “Autonomic Traffic Lights Control Using Ant Colony Algorithm,” International Journal of Advances in Engineering & Technology, Vol. 5, No. 1, pp. 448-455, 2012.

R. Al-Alawi, “Web-Based Intelligent Traffic Management System,” World Congress on Engineering and Computer Science, Vol. 1, pp. 1-4, 2009.

C. M. Mwangi, S. M. Kang’ethe, and G. N. Nyakoe, “Design and Simulation of a Fuzzy Logic Traffic Signal Controller for a Signalized Intersection,“ Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya, pp. 210-219, 2010.

M. S. Hamid, “Fuzzy Traffic Control System,“ M.Sc in Applied Mathematics and Computer Science, Eastern Meditaranean University, pp. 1-66, June, 2010.

Khan and N. S. Lai, “An Intelligent Traffic Controller Based on Fuzzy Logic,” Society of Digital Information and Wireless Communication, pp. 89-93, 2013.

H. Homaei, S. R. Hejazi, and S. M Dehghan “A New Traffic Light Controller Using Fuzzy Logic for a Full Single Junction involving Emergency Vehicle Preemption,” Journal of Uncertain System, Vol. 9, No. 1, pp. 49-61, 2015.

G. H. Kulkarni, and P. G. Waingankar, “Fuzzy Logic Based Traffic Light Controller,” 2nd International Conference on Industrial and Information Systems (ICIIS), 2007(1), pp. 107-110, 2010.

S. Mehan, “Introduction of Traffic Light Controller with Fuzzy Control System,” International Journal of Electronics & Communication Technology (IJECT), Vol. 2, No. 3, pp. 119-122, 2011.




DOI: https://doi.org/10.29099/ijair.v2i1.44

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