Proactive Bridge Lanes Reconfiguration Based on Congestion Prediction Using Connected Vehicle Data and Machine Learning
Date and Time: Tuesday, August 13: 1:30 PM - 3:00 PM
Lead Presenter: Nikola Ivanov | Director of Operations | University of Maryland CATT Lab
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Presentation Description
This first of its kind project has implemented business logic and machine learning that is aimed at improving congestion prediction in the vicinity of the Chesapeake Bay Bridge. The web application that was deployed for the Maryland Transportation Authority focuses on predicting traffic congestion when the traffic flow is still uncongested. Predicting uncongested to a congested state transition is critical to system operators as it indicates the start of congestion and is critical for proactive congestion management whether for bridges, tunnels or express lane facilities.
Speaker Biography
Nikola Ivanov serves as the Director of Operations at the Center for Advanced Transportation Technology Laboratory (CATT Lab) where he manages operations and technical development, and oversees every aspect of software implementation from conception to deployment.
Nikola has extensive experience with big data and information visualization, focusing on translation of data into actionable information. Over the last 20 years, Nikola has worked with state and federal agencies to build situational awareness tools for transportation operations and safety, emergency management, and security applications, using big data.
Nikola is an active member of the National Academies of Science Transportation Research Board where he Chairs the Regional Transportation Systems Management & Operations (Regional TSMO) Committee. At the University of Maryland CATT Lab, Nikola is the primary data architect for the Regional Integrated Transportation Information System utilized by thousands of transportation, safety, security, emergency management, and intelligence agencies across the United States.
Nikola received his Bachelor of Science degree in Computer Engineering, Master’s degree in Systems Engineering, and Post-Baccalaureate Certificate in Engineering Management from the University of Maryland.
Co-presenter(s)
IP-2A (Nikola Ivanov)
Category
Invited Presenter