Abstract: Intelligent Transportation System (ITS) needs an “always best connected” communication to ensure vehicular safety. ITS is an application of 4G which is characterized by heterogeneous radio access networks. The heterogeneous co-existence of access technologies with largely different characteristics creates a decision problem for determining best available network at a point of time. A context aware intelligent vertical handover algorithm for vehicular communication is presented here. The proposed work, studies the implementation of an intelligent vertical handover scheme based on Analytic Hierarchy Process (AHP) and fuzzy decision process. The priorities of the factors which play an influencing role in the handover process is calculated using the concept of AHP and the decision algorithm for handover is developed using the fuzzy rules based on the priorities obtained from AHP. The uses of fuzzy takes into account the uncertainty that may arise for minor difference of the priorities and hence helps to make the system more robust. A case study has been presented to demonstrate the effectiveness of this model and the selection of the optimum network with the varying speed of the vehicle in the utopian environment. The results show that the presented model not only realistically optimizes the best available network on the move but also avoids unnecessary handovers. This algorithm is specific to vehicular communication system and hence variation in network selection with vehicle speed is shown. Simulation work has been carried out in the MATLAB environment.