//Our team won the first prize at Transportation Data Challenge

Our team won the first prize at Transportation Data Challenge

The four Big Data Regional Innovation Hubs announce the Transportation Data Challenge, a series of community problem-solving sessions, hackathons, and demonstrations to be held in collaboration with the U.S. Department of Transportation, Amazon Web Services, Microsoft, Data Science Inc., and a growing community of partners.

As a part of this, the Midwest Transportation Data Challenge was held in Nebraska Transportation Center of the University of Nebraska – Lincoln on October 1, 2017. Students from several Universities including Iowa State, University of Nebraska-Lincoln, University of Michigan – Ann Arbor, University of Texas at Arlington, University of Central Florida participated in 7 different teams. Each team was assigned to use different types of data sets to solve Bike/Pedestrian Safety and/or Weather/Emergency Response related problems. In that day long competition UCF team (including two graduate students of the Dept. of CECE of UCF Kamolchandra Roy and Md-Mehedi Hasnat, and one student from University of Nebraska-Lincoln) linked Capital Bike Share data set with bicycle fatality crash and weather data set. Our team developed a machine learning based models to predict the fatal crash range (low, medium or high) and bike-share/ridership demand. The work was highly appreciated by the judges and eventually received the first prize. Our team has also received a verbal confirmation to participate in the NSF Big Data Innovation Hubs: Transportation Data Challenge to be held on November 9, 2017, in Washington D.C.


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