This is an architectural modeling process. We are assigned with a existing proposal by Shenzhen, China government to validate its rationality. Our group focuses on transportation flow and its related infrastructure design. According to the formula Q (traffic flow) = K (cars/km) * V (cars/hr), we create a digital model by Maya to simulate its possible flow situation. The color blocks stand for the cars, bus, subway and other types of vehicles. Our proposal is to improve circulation by evaluating infrastructure and mode efficiency. Apart from that, we bring up a new kind of solution, iPhone application. By using app in iPhone we can get the live flow on road and reduce congestion within this area more efficiently.

Nine different scenarios were tested in order to reveal the worst, least fluid movement (lowest ’Q’). This occurs when relative velocity (V) and density (K) are highest. As a result of these tests other significant problematic scenarios were exposed. Left turns without an adequate dedicated left turn land and signal result in congestion. At the level of a local road the presence of a parking lot exit proves to inhibit flow, especially following a major event, such as a stadium event when a large quantity of vehicles populate the site at once. This situation entirely disrupts flow and necessitates specific traffic control operations for alleviation. The rate of flow is on the curve immediately prior to a state of congestion. This state would eventually prove to be achieved by a combination of strategies working simultaneously in an intelligent hybrid mode.