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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