Tolerance Coefficient Based Improvement of Pedestrian Social Force Model

In this paper, pedestrian evacuation is investigated by using an extended social force model that considers patience factor which can solve the situation pedestrian in the corner stay where they are until everyone is finished or there is an occasional gap. In the simulation of indoor evacuation, we add the endurance coefficient attribute to pedestrians. When pedestrians are blocked in a corner that is not conducive to passage, there will be temporary waiting. When more and more people behind them are found passing through the narrow gate, pedestrians generate greater "social forces" to enable them to pass through the narrow gate and avoid long waits. Besides, LSTM is used to learn scenario data by normalization of relative positions among pedestrians, transferring velocity vector to scalar and incorporating more path planning information, and thus to make it more adaptive to realistic scenarios. The results shows more realistic speed density curve and generates less trajectory fluctuations compared with social force model.