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Availability of road navigation data and route pattern details to the vehicle controller allows the use of predictive algorithms to obtain optimal performance from the vehicle. Conventionally, in the automated transmissions, gear position values are decided from predefined maps depending on the load demand and vehicle velocity at that instant. Due to the instantaneous decisions taken to get the gear position, minor changes in terrain sometimes might cause multiple unwanted gear shifts. The paper presents the concept of predictive optimal gear shifting strategy, utilizing the route information from the vehicle navigation system and vehicle state. Route terrain information is processed to analyze the vehicle behavior at future route gradient segments. Several categories of vehicle behavior are identified and at each decision point, the driving state is classified into one of these categories.