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The development of modern transmission systems requires control methods capable of efficiently handling nonlinear behaviour and varying operating conditions. Fuzzy logic represents a suitable solution for automating the gear-shifting process due to its ability to reproduce decision-making mechanisms similar to those used by a human driver. This paper investigates the application of fuzzy logic to the control of gear shifting in a conventional vehicle. An automatic transmission model was developed and integrated with a Mamdani-type fuzzy controller designed to determine the appropriate gear-shift timing according to vehicle operating parameters. The controller applies IF–THEN rules in real time, enabling the evaluation of its decision-making logic under continuously changing driving conditions. The behaviour and performance of the proposed system are assessed through several operating scenarios, with emphasis on the adaptability, consistency, and efficiency of the gear-shifting process. The simulation results show that fuzzy logic can provide smooth and context-dependent gear changes while avoiding unnecessary shifts and excessive engine speed. The automatic gear-shifting function represents an initial step towards more advanced transmission control strategies. The proposed approach can be further extended by incorporating additional vehicle and driver-related parameters, developing more complex fuzzy strategies for different driving modes and adapting the control architecture to hybrid transmission systems. These extensions could improve transmission adaptability, support powertrain energy-management decisions, and contribute to the development of intelligent real-time vehicle control systems.