Studies on the human cardiovascular system will inevitably encounter difficulties in describing the regulatory properties of the hemodynamics. The regulatory ability of the cardiovascular system is dominated by various factors, among which, the autonomic nervous system plays the most important role in the short-term hemodynamic regulation. Aiming to a quantitative analysis of the interaction between the cardiovascular the autonomic nervous systems, we developed an integrated computational model composed of a comprehensive closed-loop lumped model for the whole cardiovascular system and a series of mathematical models representing the nervous system. The present model not only provides satisfactory hemodynamic predictions comparable to the in vivo measurements under normal resting condition but also allows a reasonable simulation of the cardiovascular regulation in responses to exercise, postural change as well as various pathological conditions.