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Reduction of ANFIS-rules based system through K-Map minimization for traffic signal controller


Citation

Che Soh, Azura and Koay, Yee Kean Reduction of ANFIS-rules based system through K-Map minimization for traffic signal controller. In: 2012 12th International Conference on Control, Automa tion and Systems, 17-21 Oct. 201 2, ICC, Jeju Island , Korea. (pp. 1290-1295).

Abstract

Adaptive-Neural Fuzzy Inference System (ANFIS) traffic signal controller is an intelligent traffic signal controller which has the ability to coordinate the traffic problem by adapting the traffic changes. The number of design rule sets increases the accuracy of the controller. Thus, the complexity of the system and the computation time also increase. Rule minimization based on Karnaugh Map (K-Map) has been done and applied to design the rules of ANFIS for traffic signal controller in order to have optimized performance. The ANFIS traffic signal controller is developed using FIS editor in MATLAB. This controller is applied to control the traffic flow in multilane-multiple traffic intersection. The performance of the developed ANFIS traffic signal controller is compared to existing ANFIS traffic signal controller with the original rules. Indeed, the developed ANFIS traffic signal controller is proven to have a better performance.


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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Engineering
Keywords: ANFIS controller; K-Map; Rule-based system; Rule minimization; Fuzzy controller
Depositing User: Nurul Ainie Mokhtar
Date Deposited: 27 Apr 2018 02:56
Last Modified: 27 Apr 2018 02:56
URI: http://psasir.upm.edu.my/id/eprint/35353
Statistic Details: View Download Statistic

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