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Recent approach of Neural Network can be employed to solve a wide spectrum of problem in optimization. This paper deals with reliability, non-reliability and cost analysis of a traffic signal system. As all knows, traffic system consists of three lights; red, green and yellow. The red and green signal lights pre-empt in repair over yellow signal light. A multilayered neural network model is introduced in order to optimize the maintenance of the traffic signal system. The system can be fail due to hardware failure with human errors and various environmental conditions. All types of failures, repairs and waiting rates are exponential. System state probabilities and other parameters are developed for the proposed model using neural network approach. At the last, numerical examples are included to illustrate the results.

Operational Readiness of Traffic Signal System with Human Error under Environmental Conditions Using Neural Network Approach