Agent based evaluation of dynamic city models: A combination of human decision processes and an emission model for transportation based on acceleration and instantaneous speed

This project presents a simulation tool to evaluate procedurally generated 3D city models with a set of agents representing pedestrians, the environment and urban street actors towards greenhouse gas emission from transportation. This empiric tool for architects and urban planners analyses, predicts and quantifies traffic fluctuations over time, and define the number of pedestrians, individual traffic and public transport in each area and street of a city. Examples show that the allocation of functions within a city contributes to the appearance of traffic congestion and therefore emissions. This tool simulates the decisions and returns information about the path occupants take and their individual experiences such as stress, effort and deviations. This allows planners to evaluate their design before implementation in an empirical way.