The transition to electric vehicles (EVs) is a critical step in sustainable urban mobility, addressing environmental concerns such as carbon emissions and air pollution. Despite rapid EV market growth, challenges like costs, range limitations, and insufficient charging infrastructure persist. This thesis uses real-world driving data from 1,000 insurance customers to assess EV adoption feasibility, focusing on user-specific trip patterns. A custom-designed simulator forms the core of the study, evaluating EV feasibility by processing inputs: trip data, user parameters (e.g., anxiety thresholds, minimum parking durations), vehicle parameters (e.g., battery capacity, consumption per road type, maximum charging power), and grid parameters (e.g., AC and DC charging powers).