A framework for the motion synthesis of a continuum crowd model

There have been numerous attempts to realistically simulate crowd motion through an urban environment and there has not been a model that combines the realistic simulation of an urban environment with the functionality and efficiency of a Mobile Ad Hoc Network (MANET). Our model will be able to combine the best of both worlds. In our effort to create this model, we studied network simulation and non-network simulation models. Network simulations tend to concentrate on more detail regarding the network's efficiency rather than giving more detail to the actual motion of the nodes in the model. These networking features make these models desirable for creating a network simulation but the simplistic nature of motion does not make them useful for simulating human movement. The Non-Network simulations focused on the actual motion of each node and included more detail such as density values, potential functions, collision avoidance, and change of velocity. These added features made the simulation more realistic and dynamic in their movement across an environment. Our goal is to create a model that takes the best of these features from the two types and place them into one model. In the process of the research we used properties to compare and contrast each model and to determine which model would be suitable for the type of simulation model we were looking to create. Through our research, we determined that the Continuum Crowd Model gave us the best opportunity to create realistic motion so we are building a network simulation model based on this model. Our ultimate goal is to simply create a realistic urban motion synthesis in an urban environment that will provide the framework for a future network simulation model.