The use of real-time information in Intelligent Transportation Systems (ITS) in particular Vehicular Ad hoc Networks (VANETs) has the potential to improve traffic conditions and reduce travel delays by facilitating better utilization of available capacity. These systems exploit currently available and emerging computer, communication, and control technologies to monitor, manage, and control the transportation system. They also provide various levels of traffic information and trip advisory service to system users, service providers, so that travellers or drivers can make timely and informed travel decisions. The success of ITS technology deployments is heavily dependent on the availability of timely and accurate estimates of prevailing and emerging traffic conditions. As such, there is a strong need for a “traffic prediction system”. The needed system is to utilize advanced traffic models to analyze data, especially real-time traffic data, from different sources to estimate and predict traffic conditions so that proactive strategies can be implemented to meet various traffic control, management, and operation objectives. Vehicular Ad hoc Networks are an envision of the Intelligent Transportation Systems. Vehicles communicate with each other via Inter-Vehicle Communication (IVC) as well as with roadside base