An Advanced Fuzzy Logic Based Traffic Controller

Bilal Ahmed Khan and Nai Shyan Lai
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Bilal Ahmed Khan: Asia Pacific University of Technology and Innovation, Kuala Lumpur, Malaysia
Nai Shyan Lai: Asia Pacific University of Technology and Innovation, Kuala Lumpur, Malaysia

International Journal of Innovation in the Digital Economy (IJIDE), 2014, vol. 5, issue 1, 31-40

Abstract: Traffic light plays an important role in the urban traffic management. Therefore, it is necessary to improve the traffic controller for effective traffic management and better traffic flow leading to greener environment. In this paper, an advanced and intelligent traffic light controller is proposed, utilising the fuzzy logic technology and image processing technique. A fuzzy logic control has been implemented to provide the attribute of intelligence to the system. For real-time image acquisition, the process is further linked to the fuzzy logic controller which generates a unique output for each input pattern. Here image processing and fuzzy logic tool boxes of MATLAB are used where the final output is sent to Peripheral Interface Controller (PIC) microcontroller to drive the traffic signals in the desired manner. The results obtained show an improvement of 44% in the overall outcome of traffic management as compared to the conventional traffic controller, marking great feasibility and practicality of the current model.

Date: 2014
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