{'fraction_non_alphanumeric': 0.00949367088607595, 'fraction_numerical': 0.0, 'mean_word_length': 4.971698113207547, '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}}
Fuzzy Prediction of Metro Traffic Flow

With the rapid development of urban metro traffic, the prediction and evacuation of metro pedestrian flow is of great significance to metro traffic scheduling. In this paper, the fuzzy logic method is used to predict and simulate the pedestrian flow of the metro, which is feasible to predict the pedestrian flow of the metro station and provide a theoretical basis for the reasonable arrangement of the train scheduling. The simulation result shows that fuzzy logic can predict pedestrian flow and a method of adjusting the driving schedule is proposed based on the result of the prediction.