Self diagnostic system for Predictive Maintenance of traffic light control system

Traffic light has played a vital role in decongestion of traffic flow since its inception in 1864. Since then, volumes of researches have been done while others are still on going on how to improve the performance of traffic light systems so as to meet up with the demand of ever increasing road users especially in urban cities. This work observed that little has been done in the domain of Predictive Maintenance (PM) vis-a-vis traffic light systems. Anexisting approach of Breakdown Maintenance Approach (BMA) which has been adopted in literature is not satisfactory as the traffic light is not supposed to go off especially during the busy hours. This paper presents a self diagnostic system that monitors the quality of light produced by the light emitting element of traffic light system, and alerts the maintenance operators via Short Message Service (SMS) to change the lamp head before it fails totally. Our overall methodology is encapsulated in the body of the work.