The modified Schelling Model in this project explores the impact of neutral infrastructure on the development of segregated neighborhoods in a gridded environment using an individual agent model.

The following project seeks to analyze several simple crowd behavior models to explore how a group of people may evacuate a building under certain conditions. The simulations suggest that (1) a larger variance in reaction time can offset high mean reaction times and (2) a flow of people moving against the crowd can speed up evacuation so long as the size of their group, as a percentage of the whole group, does not exceed a certain threshold.

Pedestrian crossing patterns in a gridded city, such as New York City, can take on a variety of forms. In the most simple case, a pedestrian may choose to walk a predetermined path in order to reach their destination. In other cases, the road that an individual decides to cross is dramatically influenced by which road has a cross signal, as well as the general willingness for an individual to wait for a do-not-cross signal to change. Through examining the variety of potential crossing patterns via an Individual Agent Model, we are able to quantify the optimal pedestrian crossing strategies in a gridded system.

In order to create a bar crawl that maximizes utility in a fixed distance, we used simulated annealing to build knapsacks of bars as the inputs to solvers for the traveling salesman problem.