{'fraction_non_alphanumeric': 0.016352201257861635, 'fraction_numerical': 0.0, 'mean_word_length': 5.689075630252101, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Optimization Mechanism Modeling for Emergency Evacuation in Group Incidents

The paper mainly discusses the emergency evacuation when group incident occurs. In crowded areas, group incidents will result in disorder of flow information, nonlinear and catastrophe of flow density and motion direction. The traditional evacuation route guidance only selects evacuation route for orderly, smooth flow density variations, in which nonlinearity and mutation of the flow information cannot be reflected. Therefore, once the Group incidents occurred, the stability of the model will be destroyed. To solve the problem, the paper proposes an emergency evacuation method based on path collision probability estimation model. Simulation results show that this algorithm can improve the speed of evacuation.