{'fraction_non_alphanumeric': 0.010084033613445379, 'fraction_numerical': 0.0, 'mean_word_length': 5.549450549450549, '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}}
Airspace design with explicit utilization of convective weather forecast data for reduced traffic flow management actions

We demonstrate a method for airspace design that makes explicit use of weather forecast data, in addition to forecasted traffic data, to design sectors that potentially permit reduced traffic flow management actions. We use a local geometric optimization method to partition a portion of airspace into sectors while optimizing not only for load balancing, flow conformance and sector geometry, but also for providing lane options with respect to the weather forecast data.