{'fraction_non_alphanumeric': 0.015917602996254682, 'fraction_numerical': 0.0, 'mean_word_length': 5.6397515527950315, '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}}
Automated Traffic Signal Performance Measures: Features and Applications

Automated Traffic Signal Performance Measures (ATSPMs) are a driving force to furnish traffic signal controllers with high-solution information logging abilities and use this data to produce performance measures. These measures enable traffic engineers to improve activities just as to keep up and work their frameworks in a protected and effective way. Despite the fact that these measures have changed the manner in which that administrators deal with their frameworks, a few weaknesses of the instrument are an absence of information quality control and the degree of assets required to appropriately utilize the apparatus for framework-wide administration. In this paper we will determine the level of In-Service Performance Evaluation (ISPE), which can be performed while using the existing database of roadside features, such as highway and traffic data files with maintenance records, roadside feature inventory data, and crash data with respect to existing roadside hardware categories.