Cognitive Road Traffic Controller Using Fuzzy Logic in Iot

International Journal of Computer & Organization Trends  (IJCOT)          
© 2017 by IJCOT Journal
Volume - 7 Issue - 2
Year of Publication : 2017
Authors :   K. S. Arikumar, R. Swetha, D. Swathy
DOI : 10.14445/22492593/IJCOT-V41P301


K. S. Arikumar, R. Swetha, D. Swathy "Cognitive Road Traffic Controller Using Fuzzy Logic in Iot ", International Journal of Computer & organization Trends (IJCOT), V7(2):1-5 Mar - Apr 2017, ISSN:2249-2593, Published by Seventh Sense Research Group.


Road Traffic congestion is a critical problem in many cities which causes major distress to road users. This is due to increase use of vehicles which waits endlessly and causes traffic deadlock. Many traffic control systems have been developed to mitigate this problem. Now-a-days traffic demands are high and increasing due to increase in number of vehicles. We proposed a technique called Cognitive Road Traffic Controller (CRTC) which efficiently reduces the waiting time in traffic signal. This paper gives a brief discussion of the procedures we adopted to develop an intelligent fuzzy control system for dealing with the road traffic congestion problem. Specialized node known as Local Cognitive Node (LCN) implements the learning components and decision making. The system was developed using fuzzy logic technology and Cognitive sensor node where these nodes use learning mechanism to take decisions at LCN. Simulation results shows that problem of traffic congestion is efficiently reduced in the traffic network by using the proposed mechanism.


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Wireless Sensor Networks, Traffic Congestion, fuzzy logic, fuzzy rules, Cognitive node.