An agent based model used to predict and simulate the pedestrian behavior in interaction with an Autonomous Vehicle in shared space. This model is designed for HIANIC project (Human Inspired Autonomous Navigation In Crowds) funded by French National Research Agency. The model is developed by Manon Prédhumeau, Lyuba Mancheva, Julie Dugdale and Anne Spalanzani from Grenoble Alps University.
Real data are used from the open dataset : D. Yang, L. Li, K. Redmill and Ü. Özgüner, "Top-view Trajectories: A Pedestrian Dataset of Vehicle-Crowd Interaction from Controlled Experiments and Crowded Campus," 2019 IEEE Intelligent Vehicles Symposium (IV), Paris, France, 2019, pp. 899-904, doi: 10.1109/IVS.2019.8814092.
