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Artificial intelligence enabled automatic traffic monitoring system
(University of Missouri--Columbia, 2019)
state-of-the-art deep learning algorithms based on the nature of traffic operation. Taking advantage of a large database of annotated video surveillance data, deep learning-based models are trained to track congestion, detect traffic anomalies...
TITAN : an interactive, web-based platform for transportation, data integration, and analytics
(University of Missouri--Columbia, 2020)
analysis of the current TITAN platform with traditional database systems such as Oracle and Tableau is also conducted to explain who needs to use the platform and when to use which platform. As TITAN was shown to be feasible and efficient, the future...
TMA (track mounted attenuators) involved work zones safety analysis and modeling, using machine learning to predict crash severity and crash frequency in the state of Missouri
(University of Missouri--Columbia, 2018)
focused on derived use of safety performance functions for SWZs safety level judgement and for MWZs all existing researches are still stays at focusing working TMAs related factors. This research use TMA-related crash data in Missouri from 2011 to 2016...