{'fraction_non_alphanumeric': 0.013205282112845138, 'fraction_numerical': 0.0, 'mean_word_length': 5.415384615384616, '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}}
Service Architecture for Driver Behavior Analysis in an IoT Vehicular Environment

Nowadays, the number of cars and drivers has increased significantly. This has an important impact for areas like traffic safety, insurances, taxes etc. Also, vehicles are no longer independent mechanical entities because we reached the days when everything can be connected to the Internet, and the automotive industry has already foreseen the advantages and the services from which producers and users can both benefit. In this respect we propose an architecture for collecting raw data from connected cars in an IoT environment together with a model for driver behavior analysis. The system represents a vertical data processing solution implemented using mobile technologies in embedded devices and smartphones, and Data mining services in Cloud.