Results of the social forces model for crowd simulation

This dataset was produced by our implementation of the social forces model, developed by Dirk Helbing and Péter Molnar in 1995. We have implemented the model in Python 3.8 and with it, we reproduced the experiments described by Feliciani and Nishinari in 2016 to explore the process of lane formation. <br>Our simulator produces an output file in which each line contains positions, speeds, and social forces that act on each agent, at each iteration of the model. To reproduce the experimental scenarios mentioned, we did four simulations of the four scenarios, each with 54 agents. Each simulation has 3500 iterations. The resulting data file has 54 x 3500 x 16 rows and 19 columns. To this database, in post-processing, we added another four columns containing information about the phase, the group, the simulation identification number, and the simulated scenario.