This research work focused mainly on early prediction of destination and emergency-oriented procedure to recognize trajectory patterns from intelligent sensor devices by analyzing GPS data. As an option in contrast to the customary two essential methodologies with direction following that limit the hopefuls regarding the excursion advance, and Next Place Prediction that surmises the future area of a client from client propensities, we proposed here another model dependent on both ordinary models. The benefit of this research work is, it definitely limits the goal hopefuls productively at the beginning time of a trek, inferable from the staying data got from the NPP approach. In spite of the straightforwardness of our model, the proposed strategy gives enhanced execution contrasted with traditional methodologies dependent on the test results utilizing the GPS logs of 1,546 genuine clients from the business administrations. To assess the proposed strategy and techniques, consecutive direction informational indexes originate from the GeoLife venture alongside human circulation logs from cell phone application EMAPP are used. Goal expectation (e.g., anticipating a future area) can be connected to different down to earth applications. A case of goal expectation is customized GIS administrations, which are relied upon to give backup courses of action to empower clients to maintain a strategic distance from clogged streets in future applications. At long last, we show the capability of managing area data for advancing crisis the executives.