{'fraction_non_alphanumeric': 0.011347517730496455, 'fraction_numerical': 0.0, 'mean_word_length': 4.739837398373984, '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}}
A Comparison Of Travel Time Reduction Using Current Vs. Partially Predictive Travel Times

This paper describes an Advanced Traveler Information System which for the purposes of providing optimal route information for driver uses primarily current data, but also uses predictive data where incidents have sufficiently changed the capacity of a node or link. The prediction would be based on the expected demand and an estimate of the now-reduced capacity. The predictive data would only be used for links with incidents. A simulation study of such a system is described, and a comparison is made of the results of such a system to one using only current data and to the absence of a route guidance system.