Our method synthesizes a streaming video to visualize the traffic situations of a place over time. This example-based frame- work can realize the traffic flows consistent with the sparse VD data at different regions. The main advantage of this framework is generality, which is able to visualize different traffic situations derived from driving behaviors, weathers, etc. We show the experimental results in Figs. 6, 7, and in the accompanying video to demonstrate the feasibility of our technique. discontinuity artifacts, Kwatra et al. [13] overlapped a number of frames and computed a surface to transit one video to another seamlessly.