Analysis of vessel navigation and congestion in waterways based on AIS Data

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Date: November 12, 2021
Time: 11:00 a.m. - 12:00 p.m.
Location: Virtual event
Category: Seminar

Abstract: United States economy relies heavily on Marine Transportation Systems (MTS) to import essential raw materials and export products through ports and channels. Development in cargo and freight transshipment, along with the increase in the size of vessels and physical waterway restrictions, leave vessels with long waiting times and consequent economic problems. To assess and control the waterway congestion and to find bottlenecks or congested areas, it is necessary to measure and quantify congestion. One of the most solid sources of data in studying MTS traffic congestion is the automatic identification system (AIS) data. In this presentation we will present an AIS-based data analytic approach to quantify the indices for a whole waterway (macro level) as well as smaller segments (micro level), and apply the methodology on Houston Ship Channel (HSC) AIS data as a case study and present the indices in both average and real-time values, where the results are analyzed and visualized through maps, time-lapses, and colormap charts.

Bio: Dr. Maryam Hamidi earned her Ph.D. in Systems and Industrial Engineering from the University of Arizona, 2016. She earned her M.B.A. degree from Sharif University of Technology and her B.S. degree in Electrical Engineering from Amir-Kabir University of Technology.  She joined the faculty at Lamar University in September 2016 and is currently an Assistant Professor of the Industrial Engineering department and the Center for Advances in Port Management. Her areas of expertise are reliability engineering, maintenance optimization, and port and waterway operations. She is the handling editor of Transportation Research Record and Informatics and is a member of IISE and Institute for Operations Research and the Management Sciences (INFORMS). Web page:

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November 2021