Comparative Analysis of Machine Learning and Statistical Models for Railroad–Highway Grade Crossing Safety
Railroad-highway grade crossings (RHGCs) are critical points of conflict between roadway and rail systems, contributing to over 2000 crashes and 250 fatalities annually in the United States. This study applied machine learning methods (ML) techniques to model and predict crash frequency at RHGCs, us... Link: https://digitalscholarship.tnstate.edu/cae-faculty/18 :Cat-PS
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