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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)
, and through those recorded crash reports, combine using MWZs working schedules, figure out which factors and under which situations are common exist through all recorded crash both in MWZs and SWZs. Differential analysis model was explored and built...
Automated conflation framework for integrating transportation big datasets
(University of Missouri--Columbia, 2019)
The constant merging of the data, commonly known as Conflation, from various sources, has been a vital part for any phase of development, be it planning, governing the existing system or to study the effects of any ...
Artificial intelligence enabled automatic traffic monitoring system
(University of Missouri--Columbia, 2019)
The rapid advancement in the field of machine learning and high-performance computing have highly augmented the scope of video-based traffic monitoring systems. In this study, an automatic traffic monitoring system is ...