Monitoring, Prediction and Protection
Traffic incident is one of the factors causing traffic congestion on the roads. The traffic management centres start accumulating incident data to manage the congestion. However, the incidents are not properly managed because many minor accidents happen to be unreported. Therefore, systematic ways for detecting and accumulating events data are necessary. This research aim is to introduce a novel way of obtaining incident-related data and to develop a robust detection algorithm to recognize incidents and its type simultaneously by machine learning.
I received the M.S degree in transportation engineer ing from Kongju National University, South Korea in 2017. I commenced Joint Ph.D. degree with Southeast University, China in 2018 under the supervision of Dr. Inhi Kim, Prof. Graham Currie and Prof. Zhibin Li. Research interests include intelligent transport systems, traffic simulation, virtual reality, driving simulator and deep learning analysis.
The presentation can be watched below;