Over the years, there has been a sudden increase in the number of vehicles on road. Traffic congestion, is a growing problem everyone faces in their daily life. Manual control of traffic by policeman has not proved to be efficient. Also the predefined set time for the signal at all circumstances (low and high traffic density) has not solved this problem. Mechanisms to use IR sensors to detect traffic density is not very effective as even a single vehicle detected at the last sensor can imply high traffic density even when there is free space in front of it. A model to effectively solve the above mentioned problems by using Internet of things for traffic controlling systems which also gives priority to emergency vehicles is proposed. We use cloud for internet based computing, where different services such as server, storage and application are delivered to an organization. Cloud computing store data on the internet which must give continuous update so that it can handle traffic smoothly. We then use load cell to approximately calculate the amount of time required to clear the traffic on a particular road based on the density of traffic. RF transmitters are used in emergency vehicles to transmit signal to RF receiver mounted on traffic signal. This makes sure the signal is turned green to let the emergency vehicle pass by. A real-time traffic information collection and monitoring system to solve the problem of realtime monitoring and controlling road vehicles is proposed. This system employs key technologies: Internet of Things, Load Cells and RF Transmitters and Receivers to collect, Store, Manage and Supervise traffic information. Multiple advantages of the work are: Cost effectiveness, reduction in waiting/ travelling times with cost and fuel efficiency, traffic surveillance using URL available for smart decision making is of major concern.