Building the future of railroads
Photo by Evan Krape January 29, 2018
Zarembski recognized for contributions to track engineering
Allan M. Zarembski, Professor of Practice and Director of UD’s Railroad Engineering and Safety Program, has received the 2017 Fumio Tatsuoka Best Paper Award from the journal Transportation Infrastructure Geotechnology. He was recognized for four papers that made significant impact on geotechnology in railway engineering, specifically in the realms of track geometry defects and track substructure.
Zarembski is the fourth recipient of this award and the second from UD. Dov Leshchinsky, emeritus professor of civil and environmental engineering, won the first Fumio Tatsuoka Best Paper Award in 2014.
Zarembski is recognized worldwide for his expertise in railway engineering, including track system analysis, railway component failure analysis, track strength, and maintenance planning. He is a pioneer in the use of “big data”—gathering, analyzing, and efficiently converting large volumes of complex data into useful information— in railroad engineering. Under Zarembski’s leadership, UD is a partner, along with Virginia Tech, on a five-year Tier 1 University Transportation Center (UTC) program awarded in 2016 to the University of Nevada at Las Vegas for “Improving Rail Transportation Infrastructure Sustainability and Durability.”
This partnership has allowed Zarembski to expand UD’s Railroad Engineering and Safety Program and upgrade its research capabilities. Now Zarembski and his colleagues are using big data to forecast the longevity of railroad tracks, an important question since it would cost about $100 billion to replace all the tracks in the U.S., said Zarembski. Several railroad companies are providing data for UD engineers to analyze.
The rise of big data in rail engineering
For the last four years, Zarembski has organized the international Big Data in Railroad Maintenance Planning conference, held annually at UD. This conference brings together railroad experts from academia and industry to discuss maintenance planning and techniques for big data analysis. Some presentations are theoretical; some are practical.
“This conference has grown in the quality of papers, quality of speakers, and level of interest of attendees every year,” said Zarembski.
The most recent conference, held on December 14 and 15, was the largest yet, with 220 international registrants.
When the Big Data in Railroad Maintenance Planning conference started four years ago, speakers shared their plans to use big data. In 2017, they shared how they have used big data to improve efficiency and