{'fraction_non_alphanumeric': 0.017293997965412006, 'fraction_numerical': 0.007121057985757884, 'mean_word_length': 5.604026845637584, '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}}
Interactive simulation platform using processing-based visualization for safe collision-free autonomous driving development

Autonomous driving for maximum throughput of traffic is too complex to cover various cases of exceptions in relation to large-scale cars in city, while still guaranteeing safety of the self-organizing algorithm. In this paper, we present a simulation-integrated interactive visualization platform to enable the fast development of a safe self-organizing driving algorithm. Using the proposed platform, developers describe geographic roads and allocate active cars equipped with specific autonomous algorithms. The cross-coupled simulation result of the self-organized movement of cars is interactively visualized with traffic on roads to show the weakness of the embedded autonomous driving algorithm. We show a demonstration for 1000 cars on 300 junctions of roads and offer a way to accelerate the development of self-organizing control in autonomous cars.