Self controlled traffic management using autonomic system

Autonomic computing allude as a self-managing feature that; autonomic nervous system, manages the body. A system is autonomic if it can monitor changes by itself, analyze, plan actions according to it and execute them automatically in order to become a reliable system. The present work focuses on a real life case study of traffic light management system, plays an important role in our daily lives. In most places, “especially in developing countries” the traffic light system is time bounded, which sometimes does not allow an ambulance carrying a patient to pass through traffic light; red light. Hence there should be a smart traffic light signal system which can overcome with such problems, allow the ambulance to pass through traffic signal whether it's red or green. This can be done using a wireless sensor network and voice recognition technology.