چكيده به لاتين
Walking is considered as one of the non-motorized transportation modes. Identifying pedestrian’s behavior is an important part of walking behavior modeling. Therefore, before designing walkways for pedestrian movements, it is necessary to study type of movement, velocity, capacity, and other parameters that relate to pedestrians. So, in order to study pedestrian’s movement, we should identify individual’s movements and behaviors. In this thesis, modeling of evacuation processes using cellular automaton model for pedestrian dynamics is used where the space is discretized into small cells which can either be empty or occupied by exactly one pedestrian. Each of these pedestrians can move to one of its unoccupied neighbor cells. This study proposes a methodology to calibrate these models using experimental trajectories that has been collected from experimental data. All data that have been collected, and the features such as location, sex, velocity, and direction are recorded location, sex, velocity, and direction for each observation. To estimate the model likelihood function optimization is applied. All models are calibrated with trajectory line from real data, and all of them are also validated with density-speed curve.
Keywords:
Pedesterian, Calibration, Floor-Field, Cellular Automata, Behavior, Crowd
