Coronary artery disease (CAD) is one of the main causes of mortality in the developed countries. CAD is caused by the formation of atherosclerotic plaques in the arterial wall that progressively narrow the coronary vessel, potentially leading to severe events such as myocardial infarction. The study of hemodynamics is crucial to relate causes and effects of atherosclerosis, early detect and quantify stenoses, design stents and plan surgical interventions. Nowadays, computational fluid dynamics (CFD) models are widely used to investigate blood flow and pressure in healthy and diseased coronary arteries in addition to in vivo measurements and in vitro experiments. Since the solution of three-dimensional (3D) CFD models often requires excessive computational time, one-dimensional (1D) hemodynamic models have been increasingly applied, thanks to their several orders of magnitude lower computational complexity.