Eye-movement and pupillary change have been used as indexes in educational studies and behavior analysis. Because they reflect the process of human information input, it is possible to use them as indexes for human cognitive load. This paper proposes to evaluate cognitive load, during driving simulation using eye-movement and pupillary changes. This paper defines "most-frequent-eye-movement-velocity" for quantitative analysis of cognitive load in driving simulation, with measurement of eye-movement and the estimation of pupillary size. Experimental results indicate that when coupled with "verse capping task" and "memory task", "most-frequent-eye-movement-velocity" and pupillary size increased during simulation. Furthermore, upon measurement of gazing time. It was discovered that for the previous cases, time spent on gazing on the road fell significantly.