{'fraction_non_alphanumeric': 0.013598326359832637, 'fraction_numerical': 0.0, 'mean_word_length': 5.056962025316456, '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}}
MULTI-AGENT BASED SIMULATION OF INDIVIDUAL TRAFFIC IN BERLIN

Multi-agent simulations of traffic are widely expected to become an important tool for transportation planning in the mid-term future. This paper reports on the first steps of a project which aims to apply such a tool to a large real world scenario based on datasets create in the normal transportation planning process for use with established transportation planning tools. As the first steps of the implementation show, many problems related to different data semantics and the different modelling concepts can occur. In most cases, theses problems can be resolved by minor adoptions of the software or the data. The evaluation of a large scenario of several hundred thousand agents shows that performance issues do no longer hinder applications of this kind. Thereby, the implementation of this scenario helps to push multi-agent traffic simulation tools forward to real world applications.