{'fraction_non_alphanumeric': 0.014175257731958763, 'fraction_numerical': 0.0, 'mean_word_length': 5.475, '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}}
INTELLIGENT TRAFFIC MANAGEMENT SYSTEM

Existing Traffic Management system works quite satisfactorily with moderate density of traffic but gets chaotic as the vehicle crowd increases. The system would be provided with image inputs of different traffic scenes. Based on the parameters predefined, it will segregate the scenes thus provides traffic as low, moderate or heavy traffic considering traffic density as the major parameter.The data understanding phase consists of various road traffic-scenes with High, Moderate and Low Traffic density which will thus enable us to create a training dataset. This dataset would help us train our TDIM (Traffic Density Identification Module) further and thus make it capable of identifying and segregating the Traffic scene accordingly.