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This paper investigates the impact of vehicular trajectory completeness on car-following (CF) model calibration and validation. Synthetic data with different levels of trajectory completeness, i.e., different number of driving regimes, generated from carefully designed numerical experiments are mainly used to calibrate and validate the Intelligent Driver Model (IDM) and the Newell's CF model. Model calibration results suggest that some driving regimes in a trajectory impact calibration errors and the particular regime and its exact impact are model-specific, e.g., the presence of the standstill and the absence of the cruising regimes impacts IDM and Newell's CF model calibration errors, respectively. However, level of trajectory completeness has no impact. The acceleration behaviour of IDM drivers in different driving regimes is determined by more than one parameter, i.e., a one-to-one mapping between the parameters …